May 2023 – Feb 2026 · 2 yrs 9 mos

• 1) Data Pipeline Management:
• Managed and optimized data pipelines to address gaps, discrepancies, and accuracy issues. Collaborated with product and engineering teams to identify opportunities and streamline in-house data collection processes, ensuring reliable and actionable data for decision-making.
• 2) Dashboard Creation for Platform Migration:
• Developed a comprehensive dashboard during the migration of onsite display ads from FCC to Artemis. This platform provides visibility into campaign health, platform performance, optimization recommendations, and buyer insights. With ~90–100 daily average users, including director-level stakeholders, the tool supports data-driven decision-making and improved operational efficiency.
• 3) Data Attribution Channel:
• Designed a channel for advertisers to track revenue generated from ads along with ROI metrics. This channel successfully attributed $1M in revenue within a week
• 4) Implementation of Tracking Parameters:
• Created Yabbas scripts to define new parameters and events needed for insights into product launches. Worked closely with product teams for front-end implementation and leveraged Adobe Analytics to monitor experiments and track event-based performance.
• 5) Root Cause Analysis (RCA):
• Built dynamic dashboards to conduct weekly and monthly RCAs focused on ad performance metrics. These analyses informed stakeholders about dips in performance, identified contributing factors, and facilitated strategy discussions
• 6) Cross-Functional Collaboration:
• Collaborated with Product Managers, Software Engineers, Data Scientists, and Data Engineers to design scalable analytic capabilities. These efforts drove insightful decision-making and aided KPI growth.
• 7) Experimentation and Statistical Analysis:
• Conducted thorough experimental analyses to evaluate the statistical significance of observed metric trends. These insights helped uncover underlying patterns, guiding stakeholders toward data-backed strategies and solutions.

May 2023 – Oct 2023 · 5 mos

May 2022 – Mar 2023 · 10 mos · India

• 1. Figuring out the suspicious activity on the platform eg : Assigned KAM'S working on the portfolio outside their range , KAM'S providing service to supplier's outside their portfolio etc
• 2) Churn analysis - Figuring why , when , where , at what stages of the cycle
• 3) Changing the brand strategy in calculating L1 metric
• 4) Executing and optimising a drive to get back churn sellers
• 5) Figuring out behaviour patterns of too sellers and aiding in policies to cater to them
• 6) Creating dashboards for real time analysis
• 7) Owning commitment and doing regular Root causes , creating new operation benchmarks , new process setups , tracking mechanism , logic updated .
• 8) Doing A/B to experiment Hypothesis , increasing demand , increasing ad revenue , reducing churn and so on

Jun 2021 – May 2022 · 11 mos · Hyderabad, Telangana, India

• Ability to conceptualize, build, and maintain Python/R based solutions in addition to excellent SQL and general programming/coding skills.
• Be a thought partner for CommOps and handle projects independently from conceptualisation, analysis and delivery
• Work on building statistical tools and develop classification models, predictive models etc to aid decision making
• Work alongside decision scientists, engineering teams in building and adopting latest tools & techniques for data analysis ( R shiny dashboards)
• Dig deep into Uber data sources and identify opportunities of improvement across metrics and operations independently
• Drive analysis on projects and important strategic decisions improving the experience for our driver partners and riders
• Coordinate with other members of the Community Operations team to measure the impact and efficiency of new products and business processes
• Develop analytical frameworks to support the company in new markets and products
• Identify operational weaknesses and help improve or innovate new processes to keep support teams as efficient as possible
• Creating dashboard ,analysis ,chart for helping the Korea marketplace for their new UT launch.
• Working with Various stakeholders for handling of several projects in NA region, mainly by prioritizing and setting up the expectations beforehand.
• Participated and handled a team of 3 in Hackathron and reaching the runner ups.

Nov 2020 – Jan 2021 · 2 mos

• The internship was online , where in I got the opportunity to work on Business analytics and Data science problems with Business cases.

May 2020 – Jun 2021 · 1 yr 1 mo

• using advance excel and SQL for analysis , python for automating process and inventory management

Feb 2020 – Mar 2020 · 1 mo · Hyderabad, Telangana, India

• Data science internship to solve energy related problems

Sep 2019 – Nov 2019 · 2 mos

• Worked customer oriented projects . Mainly worked on R and advance excel.

Nov 2018 – Jan 2020 · 1 yr 2 mos

• Used excel for bills of materials and DMA .
• Involved in customer support . Created and maintained Tableau dashboards for our clients