Jul 2024 – Jan 2025 · 6 mos · Nagpur, Maharashtra, India · Remote

• Data Analyst | Aspiring Data Scientist | 2+ Years of Experience
• Results-driven Data Analyst with 2+ years of experience in analyzing complex datasets, optimizing business operations, and delivering actionable insights. Currently transitioning into Data Science, leveraging hands-on experience in machine learning, predictive modeling, and advanced analytics as a Data Science Intern at Vaishav Technologies.
• 💡 Key Skills & Expertise:
• ✔ Data Analysis & Visualization – Power BI, Tableau, Excel, SQL
• ✔ Statistical & Predictive Modeling – Python (Pandas, NumPy, Scikit-learn)
• ✔ Machine Learning & AI – Supervised & Unsupervised Learning
• ✔ Big Data & Cloud Technologies – AWS, Google Cloud (if applicable)
• ✔ Business Intelligence (BI) & Data-Driven Decision Making
• 🎯 Passionate about bridging the gap between data analytics and machine learning, transforming raw data into business solutions. Seeking opportunities to apply my growing expertise in AI, automation, and data-driven strategies to real-world challenges.

Jul 2024 – Oct 2024 · 3 mos

• Performed data wrangling and ETL processes on datasets exceeding 500,000 rows, ensuring clean and consistent data for analysis. Utilized SQL to query large databases and Python (Pandas, NumPy) for data cleaning and statistical analysis, reducing data preprocessing time by 30%. Created data visualizations and dashboards using Tableau and Power BI that improved decision-making by 25% for senior management. Conducted exploratory data analysis (EDA) on key business metrics, uncovering trends that contributed to a 15% improvement in business forecasting accuracy. Assisted in implementing predictive models for forecasting business metrics, leading to a 20% improvement in operational strategies.

Jan 2024 – Jan 2025 · 1 yr · United Kingdom · Remote

• "Dedicated Virtual Customer Service Specialist at Amazon with a strong commitment to delivering exceptional customer experiences. Proficient in leveraging advanced technology to resolve inquiries swiftly and effectively, while maintaining a personal and empathetic approach. Known for clear communication, thorough understanding of Amazon's vast array of products and services, and a relentless focus on customer satisfaction. Passionate about fostering positive, lasting relationships with customers and consistently exceeding performance targets."

Jul 2022 – Aug 2023 · 1 yr 1 mo · Pune, Maharashtra, India · On-site

• 🔍 Junior Data Analyst | FinTech Enthusiast | Data-Driven Problem Solver
• Passionate about transforming raw financial data into meaningful insights that drive business decisions. As a Junior Data Analyst in the FinTech sector, I work with large datasets to analyze trends, detect risks, and optimize financial processes.
• 💡 What I Do:
• ✔️ Clean, analyze, and visualize financial data for better decision-making
• ✔️ Identify patterns in customer behavior, transactions, and market trends
• ✔️ Assist in fraud detection and risk assessment using data analytics
• ✔️ Build reports and dashboards using SQL, Excel, Power BI/Tableau
• ✔️ Collaborate with finance, product, and tech teams to enhance strategies
• 📈 Driven by curiosity and a love for numbers, I enjoy uncovering insights that shape financial innovation. Always eager to learn, grow, and contribute to a data-driven future!

Jul 2022 – Aug 2023 · 1 yr 1 mo

• Analyzed large datasets (over 200,000 records) to track payment behavior patterns and trends, resulting in a 10% improvement in collections performance. Utilized SQL and Excel to query, filter, and aggregate debtor data, optimizing collection strategies and reducing overdue debt by 12%. Created monthly reports on collection performance, identifying actionable insights that led to 8% improvement in collections efficiency. Developed data visualizations and dashboards to provide actionable insights, improving managerial decision-making and reducing reporting time by 20%. Applied statistical techniques to analyze payment patterns, recommending process changes that led to a 15% reduction in delinquent accounts.

Nov 2021 – Jul 2022 · 8 mos · Pune, Maharashtra, India · On-site

• About the Role:
• As a Data Analyst at redBus, you will play a key role in analyzing business data, identifying trends, and providing actionable insights to improve operations. This role requires a strong analytical mindset, attention to detail, and proficiency in data visualization tools.
• Key Responsibilities:
• Collect, clean, and analyze large datasets to extract meaningful insights.
• Monitor and report key business KPIs (Key Performance Indicators) to drive growth.
• Create and manage dashboards using Power BI, Tableau, or Excel for real-time reporting.
• Use SQL to retrieve and manipulate data from company databases.
• Work closely with cross-functional teams to optimize financial, customer, and operational performance.
• Identify trends, anomalies, and patterns in customer behavior, booking trends, and revenue performance.
• Assist in fraud detection and risk analysis to improve platform security.
• Generate reports and presentations for leadership teams, explaining data-driven insights.

Nov 2021 – May 2022 · 6 mos

• Managed and analyzed customer interaction data, identifying patterns and trends that helped improve customer service efficiency by 18%. Used Excel to track and analyze customer complaints, improving complaint resolution time by 22%. Generated detailed reports on customer satisfaction, providing insights that contributed to a 10% improvement in customer service quality. Worked with cross-functional teams to enhance customer service workflows through data-driven decision-making, improving overall satisfaction by 15%.

Jul 2021 – Dec 2021 · 5 mos · Nagpur, Maharashtra, India

Feb 2021 – Jun 2021 · 4 mos · Maharashtra, India