Jan 2024 – Present · 2 yrs 5 mos · India · Remote

• Designed, developed, and maintained relational databases using PostgreSQL and SQL Server.
• Wrote and optimized complex SQL queries, stored procedures, and functions to support reporting and analytics.
• Improved database performance with indexing, query tuning, and schema design while ensuring data integrity and security.
• Worked on ETL processes, data migration, and collaborated with cross-functional teams to deliver scalable data solutions.
• Monitored database health, performed troubleshooting, and resolved performance issues.

Jan 2024 – Mar 2024 · 2 mos

• As a Software Engineer at Walmart, I contribute to the development, deployment, and maintenance of innovative software solutions that enhance the customer shopping experience and streamline operational processes. I work with a talented team to deliver high-quality applications that support Walmart's vast retail infrastructure.
• Completed the Advanced Software Engineering Job Simulation where I solved
• difficult technical projects for a variety of teams at Walmart.
• Developed a novel version of a heap data structure in Java for Walmart’s
• shipping department, showcasing strong problem-solving and algorithmic
• skills.
• Designed a UML class diagram for a data processor, considering different
• operating modes and database connections.
• Created an entity relationship diagram to design a new database accounting
• for all requirements provided by Walmart’s pet department.
• Key Responsibilities:
• Software Development: Develop, test, and maintain scalable and efficient software applications using Programming Languages, e.g., Java, Python, C#
• System Architecture: Design and implement robust system architecture and components to support Walmart's large-scale retail operations.
• Code Quality: Ensure code quality through comprehensive code reviews, adherence to best practices, and implementation of coding standards.
• Technical Skills:
• Programming Languages: List relevant programming languages, e.g., Sql, JavaScript, Ruby, PHP
• Frameworks and Libraries: List relevant frameworks and libraries, e.g., React, Angular, Spring Boot
• Development Tools: List relevant development tools, e.g., Git, Docker, Jenkins
• Databases: List relevant databases, e.g., MySQL, MongoDB, PostgreSQL
• Cloud Platforms: List relevant cloud platforms, e.g., AWS, Azure, Google Cloud
• Testing Frameworks: List relevant testing frameworks, e.g., JUnit, Selenium, pytest
• Version Control: Proficient with version control systems like Git.

Oct 2023 – Nov 2023 · 1 mo · India · Remote

• As a Data Science Intern at CodeClause, I leveraged my analytical skills and knowledge of data science to contribute to various projects aimed at solving complex business challenges. My role involved data collection, cleaning, analysis, and visualization, supporting the company’s data-driven decision-making process.
• Key Responsibilities:
• Data Collection and Cleaning: Gathered, cleaned, and preprocessed large datasets from diverse sources to ensure high data quality and consistency.
• Exploratory Data Analysis (EDA): Conducted thorough exploratory data analysis to identify patterns, trends, and insights using statistical tools and methods.
• Machine Learning: Assisted in the development and evaluation of predictive models using machine learning algorithms to address specific business needs.
• Data Visualization: Created interactive and static visualizations using tools like Tableau, Power BI, and matplotlib to effectively communicate insights to stakeholders.
• Reporting: Prepared detailed reports and presentations summarizing analysis result
• Collaboration: Collaborated with cross-functional teams, including data engineers, business analysts, and product managers, to understand business requirements and deliver data-driven solutions.
• Continuous Learning: Stayed updated with the latest data science trends, tools, and techniques to continuously enhance my analytical skills and methodologies.
• Key Achievements:
• Collaboration Success: Successfully collaborated with multiple teams on a major project that resulted in specific outcome,
• Technical Skills:
• Programming Languages: Proficient in Python and R.
• Data Analysis Tools: Experienced with pandas, NumPy, and scikit-learn for data manipulation and analysis.
• Visualization Tools: Skilled in using Tableau, Power BI, and matplotlib for creating visualizations.
• Database Management: Familiar with SQL and database management systems like MySQL and PostgreSQL. Statistical Analysis: Strong foundation in statistical methods and techniques.

Sep 2023 – Jan 2024 · 4 mos

• As a Data Analyst at Accenture, I utilize advanced analytical techniques and tools to transform data into actionable insights that support strategic decision-making for clients. I collaborate with cross-functional teams to deliver data-driven solutions that enhance business performance and drive innovation.
• Project Understanding
• Data Cleaning & Modeling
• Data Visualization & Storytelling
• Present to the Client.
• Key Responsibilities:
• Data Collection: Collect, clean, and preprocess large datasets from multiple sources to ensure high data quality and reliability.
• Data Analysis: Perform detailed data analysis using statistical methods and tools such as SQL, Python, and R to uncover trends, patterns, and correlations.
• Reporting and Visualization: Develop and maintain interactive dashboards and reports using tools like Tableau, Power BI, and Excel to effectively communicate insights to stakeholders.
• Business Insights: Work closely with clients to understand their business needs and translate data
• Data Management: Ensure efficient data management practices, including data storage, retrieval, and security, to support ongoing analysis and reporting.
• Continuous Improvement: Stay up-to-date with the latest industry trends, tools, and technologies to continuously enhance analytical capabilities and methodologies.
• Key Achievements:
• Advanced Analytics Implementation: Successfully implemented advanced analytics solutions that improved decision-making processes and business outcomes.
• Technical Skills:
• Data Analysis Tools: Proficient in List relevant tools, e.g., SQL, Python, R
• Data Visualization: Experienced with List relevant tools, e.g., Tableau, Power BI, Excel
• Statistical Methods: Skilled in applying statistical techniques and methodologies to analyze complex data sets.
• Database Management: Knowledgeable in database management and querying (e.g., SQL, NoSQL)
• Big Data Technologies: Familiar with big data technologies (e.g., Hadoop, Spark

Jun 2023 – Sep 2023 · 3 mos

• As a Human Resources Manager at GE Aerospace, I lead the human resources function, providing strategic direction and operational support to drive employee engagement, talent development, and organizational effectiveness. I collaborate with leadership to align HR initiatives with business objectives and foster a culture of innovation and excellence.
• Completed a job simulation involving using key HR tools and skills to help
• improve the HR systems at GE Aerospace
• Provided constructive feedback to a team member to help them develop and
• improve their performance
• Implemented the Lean Methodology by applying it to a simple everyday routine
• or process
• Prepared recommendations to managers in terms of which employees should
• receive pay rises or adjustments based on compa-ratios and established pay
• ranges
• Key Responsibilities:
• Talent Acquisition: Oversee the recruitment and selection process, partnering with hiring managers to attract top talent and ensure a diverse and inclusive workforce.
• Employee Relations: Provide guidance and support on employee relations matters, resolving conflicts, and promoting a positive work environment.
• Performance Management: Develop and implement performance management programs, including goal setting, performance evaluations, and career development plans.
• Training and Development: Design and deliver training programs to enhance employee skills and capabilities, driving continuous learning and professional growth.
• Compensation and Benefits: Manage compensation and benefits programs, ensuring competitiveness and alignment with company goals and industry benchmarks.
• HR Policies and Compliance: Establish and enforce HR policies and procedures in compliance with legal requirements and company standards.
• Employee Engagement: Drive employee engagement initiatives, including surveys, recognition programs, and team-building activities, to foster a culture of collaboration and commitment.

Apr 2023 – Jun 2023 · 2 mos

• As a Data Visualization and Analysis professional at Tata Technologies, I specialize in transforming complex data into actionable insights through visualizations and analysis. Leveraging advanced analytics tools and techniques, I support decision-making processes and drive business growth by uncovering valuable insights from data.
• Framing the Business Scenario
• Choosing the Right Visuals
• Creating Effective Visuals
• Communicating Insights and Analysis.
• Key Responsibilities:
• Data Collection and Preparation: Gather, clean, and preprocess data from various sources to ensure accuracy and reliability for analysis.
• Data Analysis: Conduct exploratory data analysis (EDA) to identify patterns, trends, and correlations in the data, utilizing statistical methods and machine learning algorithms.
• Data Visualization: Develop interactive and informative visualizations using tools like Tableau, Power BI, or Python libraries (such as Matplotlib and Seaborn) to communicate insights effectively to stakeholders.
• Dashboard Development: Design and build dynamic dashboards and reports to provide real-time visibility into key metrics and performance indicators, enabling data-driven decision-making.
• Business Insights: Partner with cross-functional teams to understand business requirements and translate data findings into actionable recommendations and strategies.
• Predictive Modeling: Develop predictive models to forecast future trends and behaviors, enabling proactive decision-making and risk mitigation.
• Continuous Improvement: Stay abreast of industry trends and emerging technologies in data visualization and analysis to enhance analytical capabilities and methodologies.
• Training and Support: Provide training and support to colleagues on data visualization tools and techniques, fostering a data-driven culture within the organization.
• Key Achievements:
• Enhanced Data Accessibility: Developed user-friendly dashboards that improved data accessibility and empowered stakeholders to make informed

Feb 2023 – Apr 2023 · 2 mos

• As a Data Analytics professional at Quantium, I specialize in extracting actionable insights from large datasets to drive strategic business decisions and optimize performance. Leveraging advanced analytics techniques and tools, I transform raw data into valuable insights that empower clients to achieve their business objectives.
• Data preparation and customer analytics
• Experimentation and uplift testing
• Analytics and commercial application.
• Key Responsibilities:
• Data Collection and Preparation: Gather, clean, and preprocess large and complex datasets from multiple sources to ensure data accuracy and reliability for analysis.
• Data Analysis: Utilize advanced analytics techniques, including statistical analysis and machine learning algorithms, to uncover patterns, trends, and correlations in the data.
• Data Visualization: Develop compelling visualizations and interactive dashboards using tools like Tableau, Power BI, or Python libraries (such as Matplotlib and Seaborn) to effectively communicate insights to stakeholders.
• Business Insights: Collaborate with clients to understand their business goals and challenges, and translate data findings into actionable recommendations and strategies.
• Predictive Modeling: Build predictive models to forecast future trends and behaviors, enabling proactive decision-making and risk mitigation.
• Performance Optimization: Identify opportunities for process improvement and performance optimization through data-driven analysis and recommendations.
• Client Engagement: Partner with clients to deliver data-driven solutions, provide insights, and support decision-making processes.
• Continuous Learning: Stay abreast of the latest trends and advancements in data analytics and technology to enhance analytical capabilities and methodologies.
• Key Achievements:
• Strategic Insights: Provided strategic insights that led to specific outcomes, e.g., increased revenue, cost savings for clients.

Jan 2023 – Feb 2023 · 1 mo · Remote

• Conducted data collection, cleansing, and preprocessing on datasets ranging from GB in size, ensuring data quality and consistency.
• Utilized statistical analysis and machine learning techniques (e.g., regression, clustering, classification) to identify patterns, trends, and actionable insights.
• Developed predictive models using Python/R, achieving accuracy in [specific task or project.
• Collaborated with cross-functional teams to implement data-driven recommendations, improving
• Designed and maintained interactive dashboards using tools like Tableau/Power BI to visualize complex data and present findings to stakeholders.
• Automated repetitive data tasks, reducing processing time by week using tool/technology.
• Contributed to A/B testing and experiment design to optimize business strategies and improve customer experience.
• Gained hands-on experience with cloud platforms such as AWS/Azure for deploying machine learning models and managing large-scale datasets.
• Programming: Python, R, SQL
• Libraries: Pandas, Scikit-learn, TensorFlow, Numpy
• Visualization: Tableau, Power BI, Matplotlib, Seaborn
• Database: SQL, NoSQL
• Cloud Platforms: AWS, Azure, Google Cloud

Nov 2022 – Feb 2023 · 3 mos

• As a Power BI Analyst at PwC, I leverage my expertise in data visualization and analytics to deliver actionable insights and drive informed decision-making for clients. Through the use of Power BI, I transform raw data into interactive and visually compelling dashboards, enabling clients to gain valuable insights into their business performance.
• Introduction
• Call Centre Trends
• Customer Retention
• Diversity & Inclusion.
• Key Responsibilities:
• Data Gathering and Preparation: Collect, clean, and preprocess data from various sources to ensure accuracy and reliability for analysis.
• Dashboard Development: Design and develop interactive dashboards and reports using Power BI to visualize key metrics, trends, and KPIs.
• Data Analysis: Utilize Power BI's analytical capabilities to perform in-depth data analysis, identify patterns, and uncover insights that support business objectives.
• Custom Visuals and Insights: Create custom visuals and advanced analytics solutions in Power BI to address specific client requirements and provide actionable insights.
• Client Engagement: Collaborate with clients to understand their business needs, gather requirements, and deliver tailored Power BI solutions that meet their objectives.
• Training and Support: Provide training and support to clients and internal teams on Power BI best practices, tips, and techniques.
• Continuous Improvement: Stay updated with the latest features and updates
• Key Achievements:
• Streamlined Reporting Processes: Developed Power BI dashboards that streamlined reporting processes, reducing manual effort and improving efficiency.
• Technical Skills:
• Power BI: Proficient in Power BI Desktop, Power BI Service, and Power BI Mobile for dashboard development and data visualization.
• Data Analysis: Skilled in data manipulation, transformation, and analysis using Power Query and DAX.
• SQL: Knowledgeable in SQL for data querying and manipulation.
• Microsoft Excel: Proficient in Microsoft Excel for data analysis and reporting.

Aug 2022 – Nov 2022 · 3 mos

• As a Data Scientist at BCG X, I leverage advanced analytics and machine learning techniques to drive innovation and solve complex business problems for clients across various industries. I collaborate with cross-functional teams to develop data-driven solutions that generate actionable insights and deliver measurable value.
• Business Understanding & Hypothesis Framing
• Exploratory Data Analysis
• Feature Engineering & Modelling
• Findings & Recommendations.
• Key Responsibilities:
• Data Exploration and Analysis: Conduct exploratory data analysis (EDA) to understand the characteristics and patterns of the data, identifying key insights and trends.
• Model Evaluation and Optimization: Evaluate model performance using appropriate metrics and techniques, iteratively refining models to achieve desired outcomes.
• Business Insights: Collaborate with clients to understand their business objectives and translate data insights
• Cross-functional Collaboration: Work closely with product managers, engineers, and designers to integrate data science solutions into products and services.
• Continuous Learning: Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to enhance analytical capabilities and methodologies.
• Key Achievements:
• Innovative Solutions: Developed and implemented innovative data science solutions that addressed specific business challenges and generated measurable value for clients.
• Technical Skills:
• Programming Languages: Proficient in Python, R, and SQL for data manipulation, analysis, and modeling.
• Machine Learning Libraries: Experienced in using libraries such as scikit-learn, TensorFlow, and PyTorch for machine learning and deep learning.
• Data Visualization Tools: Skilled in tools like Tableau, Power BI, matplotlib, and seaborn for creating interactive visualizations and dashboards.
• Big Data Technologies: Familiar with technologies like Hadoop, Spark, and Hive for processing and analyzing large-scale datasets.

Jun 2022 – Aug 2022 · 2 mos · India

• As a Data Analytics Intern at KPMG, I had the opportunity to apply my analytical skills and gain practical experience in leveraging data to drive business insights and solutions. Working closely with experienced professionals, I contributed to various projects involving data analysis, visualization, and interpretation, gaining valuable insights into the field of data analytics.
• Data Quality Assessment
• Data Insights
• Data Insights and Presentation.
• Completed a simulation focused on advising a client on customer targeting with the
• Data, Analytics & Modelling team
• Assessed data quality and completeness in preparation for analysis
• Analysed data to target high-value customers based on demographics and attributes
• Developed dashboards to communicate findings with visuals.
• Key Responsibilities:
• Data Collection and Preparation: Assisted in collecting, cleaning, and preprocessing data from diverse sources to ensure accuracy and reliability for analysis.
• Data Analysis: Conducted exploratory data analysis (EDA) to uncover patterns, trends, and correlations in the data, using statistical methods and visualization tools.
• Report Generation: Prepared detailed reports summarizing analysis results, findings, and recommendations to support decision-making processes.
• Research Support: Assisted in researching industry trends, best practices, and emerging technologies in data analytics to support project objectives.
• Collaboration: Collaborated with team members and stakeholders to understand project requirements, share insights, and contribute to project deliverables.
• Professional Development: Participated in training sessions, workshops, and mentorship programs to enhance technical skills and gain exposure to industry practices.
• Key Achievements:
• Successful Project Contributions: Made significant contributions to [specific projects or initiatives, e.g., market analysis, customer segmentation by providing valuable insights and support.

Jan 2021 – Jun 2022 · 1 yr 5 mos · Maharashtra, India

• As a Relationship Manager at IndianMoney.com, I am responsible for cultivating and managing client relationships, providing personalized financial guidance, and delivering exceptional service. Leveraging my expertise in financial products and services, I assist clients in achieving their financial goals and objectives.
• Data collection, Complaint Handling , Lead Generation, Customer Service.
• Solutions and Result Oriented, Client Acquisition, Client Relationships.
• Financial Services, Financial Goals, Communication, Relationship Management.
• Key Responsibilities:
• Client Relationship Management: Build and nurture strong relationships with clients by understanding their financial needs, goals, and preferences.
• Financial Advisory: Provide comprehensive financial advice and solutions tailored to clients' individual circumstances and objectives.
• Product Knowledge: Stay updated with the latest financial products and services offered by IndianMoney.com and other financial institutions.
• Sales and Business Development: Identify opportunities to cross-sell and upsell financial products and services to existing clients, as well as acquire new clients.
• Customer Service: Ensure high levels of customer satisfaction by promptly addressing client inquiries, resolving issues, and providing ongoing support.
• Compliance: Adhere to regulatory requirements and company policies while providing financial advice and recommendations to clients.
• Performance Tracking: Monitor and track client portfolios, investment performance, and financial progress, providing regular updates and reviews.
• Team Collaboration: Collaborate with other departments, including sales, marketing,
• Key Achievements:
• Client Retention: Successfully retained [specific percentage, e.g., 95% of client base through proactive relationship management and personalized service.
• Customer Satisfaction: Received positive feedback from clients for providing valuable financial advice, excellent service, and timely support.

Jan 2020 – Jan 2021 · 1 yr · Maharashtra, India

• As a Management Staff at Kimberly-Clark, I play a vital role in supporting the company's strategic initiatives and operational objectives. I contribute to various aspects of management, including project coordination, process improvement, and team collaboration, helping to drive efficiency, innovation, and success across the organization.
• Project management, Leadership, Problem solving , Decision-making, Time management, Interpersonal communication, Planning , Teamwork , Team building, Critical thinking, Strategic planning, Creativity, Active listening, Public speaking.
• Key Responsibilities:
• Project Coordination: Assist in the coordination and execution of projects, ensuring adherence to timelines, budgets, and quality standards.
• Process Improvement: Identify opportunities for process optimization and efficiency enhancements, implementing best practices and driving continuous improvement initiatives.
• Data Analysis: Analyze data and performance metrics to provide insights and recommendations for business decision-making and strategy development.
• Cross-functional Collaboration: Collaborate with teams across departments and functions to facilitate communication, alignment, and synergy on key projects and initiatives.
• Documentation and Reporting: Prepare and maintain documentation, reports, and presentations for internal and external stakeholders, communicating progress, milestones, and outcomes effectively.
• Training and Development: Support the training and development of team members, providing guidance, resources, and mentorship to foster growth and professional development.
• Compliance and Risk Management: Ensure compliance with company policies, procedures, and regulatory requirements, proactively addressing potential risks and issues.
• Key Achievements:
• Successful Project Delivery: Contributed to the successful delivery of [specific projects or initiatives], achieving project objectives and delivering value to stakeholders.

Jul 2019 – Dec 2023 · 4 yrs 5 mos

• As a YouTube Teacher on the Amol Tathe channel, I create and deliver high-quality educational content focused on Education . My goal is to make learning accessible, engaging, and enjoyable for a diverse global audience through in-depth tutorials, lessons, and insights.
• Key Responsibilities:
• Content Creation: Develop and produce educational videos, including detailed lesson plans, tutorials, and comprehensive explanations tailored to my audience’s needs.
• Audience Engagement: Engage with viewers through comments, live sessions, and social media, fostering an interactive and supportive learning community.
• Research and Planning: Conduct thorough research to ensure content accuracy, relevance, and alignment with current educational standards and trends.
• Script Writing: Craft detailed scripts and create storyboards to ensure clear, concise, and engaging delivery of educational content.
• Video Production: Manage all aspects of video production, including filming, editing, and post-production using tools like Adobe Premiere Pro, Final Cut Pro, or similar software.
• SEO and Marketing: Optimize videos for search engines using SEO best practices and promote content through various social media platforms to increase reach and engagement.
• Analytics: Monitor and analyze channel performance using YouTube Analytics and other tools to gain insights into viewer preferences and refine content strategy.
• Collaboration: Collaborate with other educators, content creators, and industry experts to create enriched content and expand the channel’s reach.
• Key Achievements:
• Channel Growth: Successfully grew the channel to new subscribers within Five year, demonstrating the ability to attract and retain a large audience.
• Educational Impact: Produced a library of videos that have collectively garnered views, helping numerous viewers enhance their knowledge and skills.
• Positive Feedback: Received numerous positive comments and testimonials from viewers praising the clarity