Aug 2022 – Jun 2025 · 2 yrs 10 mos · Gurugram, Haryana, India

• Led data-driven projects across diverse digital products, driving growth, engagement, and compliance within the Digital Strategy & Analytics team.
• Indie App (Digital Bank):
• Digital Transformation: Key role in Indie App's inception to execution, overseeing analytics for pivotal initiatives.
• Indie Business Dashboard: Spearheaded real-time tracking of customer metrics and financial products.
• Campaigns Dashboard: Innovated insights empowering targeted campaigns.
• Contributions:
• End-to-End Analytics: Framed analytics framework for informed decisions.
• Cross-Functional Collaboration: Partnered for data support across teams.
• Campaign Insights: Shaped strategies, enhancing engagement.
• Strategic Reporting: Presented growth reports for leadership.
• Regulatory Compliance: Ensured analytics alignment with guidelines.
• IMS (MSME App):
• Some of key Projects
• IMS Dashboard: Supported critical metric tracking for MSME merchant success.
• Scratch Card Campaign: Aided campaign to boost user engagement.
• Contributions:
• Ad-Hoc Analytics: Provided data insights for daily operations.
• Compliance Reporting: Produced monthly reports for adherence.
• Segmentation Strategy: Enhanced campaign targeting.
• Indus Mobile App:
• Some of key Projects
• Enhanced App Performance: Collaborated for impactful campaigns.
• Channel Dashboard: Crafted comprehensive reports for MD and RBI reporting, encompassing segments like savings/current accounts, credit cards, and CFD loans.
• Contributions:
• Ad-Hoc Data Support: Assisted with insights for operations.
• Enhanced Reporting: Developed clear dashboards.
• Transaction Insights: Analyzed activity, guiding decisions.
• Key Outcomes:
• Transformed frameworks for data-driven strategies.
• Enabled cross-functional collaboration.
• Leveraged analytics for growth and compliance.

Jul 2021 – Aug 2022 · 1 yr 1 mo

• COD AUTOMATION: Developed Python project which tally and validate the multiple bank statements details with the Company’s
• daily COD amount collection report from every DC, major outcome: sorted time of manual work by 70 – 80%
• Made a streamlit UI, in which user just have to select file which they want to tally and download tally/Validated file as output
•  Took Ownership of automating daily reports from traditional MIS (R, VBA reports) to end to end Automated in Python (from data
• Extraction Via MySQL query, transformations, operations converting into Business insights and formatting color, text for decent
• report view to sending (well formatted mail structure proper coloring, aligning, texting) to responsive people CXO, VP, HODs of
• organization.)
•  To Ownership for converting maximum MIS daily report into Power BI dashboard.
• Designed and modeled Power Bi Live data dashboards with dynamic SQL Queries, dynamic Dax queries in which few are
• conversion of daily MIS(R,VBA) report to Power BI Dashboard and few dashboards are based on daily ad-Hoc requirement and Business requirement which
• made by multiple SQL queries which made a huge data model to show many things in one interpreted dashboard. E.g.
• DC score card: - KPI which gives the info about the performance score of particular DC on Daily and weekly level,
• Aging report: KPI dashboard which gives the insights of volume allocations, reaming, unattempt in different segment like COD,
• PPD, RVP, EDS, RTS etc. from DC by suing dynamic SQL query and DAX functions
•  Daily day to day responsibility is working on Ad-Hoc reports requirement, showcasing the valuable insights to no technical peers
• of organization,
• Translating complex and huge data volume and patterns into high value business insights via SQL Queries, cleaning, manipulating
• reporting it via EXCEL, Python, PYSPARK.
• And also taken care about MIS Daily reports eliminating errors or making chances in that according to requirements if arise

Dec 2020 – Mar 2021 · 3 mos

• Worked on locality Mapping project which aim to execute operations involving data transformation, restructuring & analysis,
• summary dashboard report of misroutes, wrong addresses, wrong mapping of delivery point using tools python and excel for 100 cities of india

Oct 2020 – Dec 2020 · 2 mos

Oct 2020 – Oct 2020 · 0 mo

• https://pianalytix.com/what-is-naive-bayes-classifier-algorithm-in-machine-learning/
• https://pianalytix.com/what-is-underfitting-and-overfitting-in-machine-learning-and-how-to-deal-with-it/

Sep 2020 – Oct 2020 · 1 mo

Sep 2020 – Sep 2020 · 0 mo

• Data science intern

Jul 2020 – Aug 2020 · 1 mo