Feb 2022 – Sep 2024 · 2 yrs 7 mos · Pune, Maharashtra, India · On-site

• As a Data Analyst on the Product Development team, I played a pivotal role in developing a cutting-edge feature called Scorer in the Recruitment module. This innovative feature helped organisations efficiently identify the most suitable candidates for any job opening by leveraging advanced data analytics techniques.
• My responsibilities as Data Analyst:
• ▪️ Collaboration with Cross-functional Teams: Worked closely with cross-functional teams to gather and understand customer requirements, ensuring alignment between the Scorer feature and client needs.
• ▪️Feature Development: Led the development of the Scorer feature, utilising data analysis and visualization tools to design algorithms that accurately ranked and scored job applicants.
• ▪️Testing and Quality Assurance: Conducted rigorous testing, identifying and rectifying any issues or bugs in the Scorer feature to ensure its reliability and accuracy.
• ▪️Performance Optimisation: Continuously analysed and fine-tuned the Scorer feature's performance, enhancing its efficiency and precision through iterative improvements.
• ▪️Feedback and Improvement: Provided insightful feedback based on user experiences and data-driven insights, leading to ongoing enhancements that made the Scorer feature a game-changing tool for our customers.

Mar 2021 – Feb 2022 · 11 mos · Pune, Maharashtra, India · Remote

• As a Data Engineer, I played a pivotal role in assisting clients in establishing and sustaining robust data infrastructures. My focus was on understanding clients' unique needs and crafting tailored solutions to fulfill their data requirements. I also provided continuous support to ensure seamless data system operation, troubleshooting issues, and optimizing performance, ultimately aiding clients in achieving their data-driven objectives and enhancing overall business outcomes.
• My responsibilities as Associate Data Engineer:
• ▪️Custom Solution Design: Collaborated closely with clients to comprehensively understand their data needs, tailoring data solutions to align with their specific requirements and objectives.
• ▪️Data Infrastructure Development: Led the creation and enhancement of data infrastructures, encompassing data pipelines, storage systems, and ETL processes, ensuring scalability, reliability, and performance.
• ▪️Ongoing Support: Provided continuous support to clients by monitoring data systems, diagnosing and resolving issues promptly, and optimizing system performance for optimal data flow.
• ▪️Performance Optimization: Employed various techniques and tools to analyze and optimize data workflows, enhancing efficiency, reducing latency, and ensuring data quality.
• ▪️Client Empowerment: Conducted training sessions and knowledge sharing to empower clients with the skills and understanding needed to make data-driven decisions, fostering self-sufficiency in managing their data ecosystems.

Oct 2020 – Feb 2021 · 4 mos · Mumbai, Maharashtra, India · Remote

• As a Data Science Intern, I played a vital role in supporting senior management's data-driven decision-making process by transforming intricate data into intuitive visualisations. I had the opportunity to work within the pioneering Data Science team within the company, where I introduced Tableau software and contributed to an end-to-end proof-of-concept for a transformative analytics project. Our collective efforts empowered the company to harness data insights, unveiling novel prospects, optimising operations, and fuelling exponential growth.
• My responsibilities as Data Science Intern:
• ▪️Data Visualisation Support: Assisted in creating visually compelling charts and dashboards using Tableau, making complex data more accessible to decision-makers.
• ▪️Team Collaboration: Collaborated closely with senior team members and data analysts, contributing to a cross-functional team environment and enhancing my knowledge of data science practices.
• ▪️Analytics Project Involvement: Participated in various stages of an end-to-end analytics project, including data collection, preprocessing, exploratory data analysis, and visualisation, gaining hands-on experience in data science workflows.
• ▪️Data-Driven Insights: Worked alongside senior analysts to generate insights from data, which were used to inform strategic decisions and identify potential business opportunities.
• ▪️Contributor to Growth: Contributed to the company's success by assisting in leveraging data insights to identify new business avenues, streamline operations, and drive revenue growth.