Profile

Senior Data Analyst with 5+ years of experience driving growth and optimization across SaaS, Quick Commerce, and Banking. Expert in SQL, Python, Excel and Tableau for advanced reporting and visualization. Strategic contributions include cohort analysis, A/B testing, and user funnel optimization. Successfully automated reporting (saving 30+ hours/week) and saved $20,000 revenue through proactive data monitoring and dashboard.

Professional Experience
Zocket, Data Analyst 2
Aug 2023 – Present
  • •Developed dashboards using Tableau and Streamlit with Python, providing real-time updates on key performance indicators enabling the generation of daily, weekly, investor, and MIS reports.
  • •The dashboards enhanced visibility on the KPI metrics and reduced daily report generation time by more than 3 hours, benefiting 20+ internal and external stakeholders.
  • •Audited customer wallet balances to identify discrepancies where spending limits exceeded the amount paid, preventing potential losses of over $20,000.
  • •Identified and resolved critical issues with the Stripe and Facebook APIs that were causing duplicate entries and incorrect spending limits, preventing overspending of more than $2,000.
  • •Revamped the existing revenue calculation logic that rectified prior calculation errors, reducing revenue discrepancies by 15%.
  • •Leveraged revenue and retention cohorts to identify potential customers for upselling and cross-selling, helping team drive a 15% MOM revenue growth.
  • •Devised CleverTap funnel dashboards to analyze user behaviour, understand customer pain points and optimize the customer journey, resulting in a 20% improvement in user acquisition and a 4% increase in conversion rate.
    • Dunzo, Analyst
    Aug 2022 – Jul 2023
  • •Crafted coupons, banners, and employed A/​B testing to measure the effectiveness of the campaigns and found improvement in the merchant's retention rate by 15% and order volume by 10%.
  • •Implemented a logic to calculate total sessions lost due to rain sessions and curfew mode for B2B enabling attribution which helped in improving the task distance, leading to a 5% increase in GM.
  • •Designed a data model to daily track and enhance the performance of a Tele-calling team and over 30 sales officers, leading to a 20% boost in productivity.
  • •Established dashboards and reports for monitoring more than 20 KPIs, mainly including CR%, SO%, CPT, AOV, GM, EPH, and TPH at various levels of granularity, resulting in a significant reduction of 12 hours per week spent in manual reporting.
  • •Achieved an 80% reduction in slot time in GCP through the successful completion of a project focused on optimizing queries of Tableau dashboards.
  • •Strategically Refined surge pricing for B2B merchants based on real-time demand and supply, which led to a 10% increase in gross margin.
    • HDFC Bank
    Risk Investigation Manager - Payment Frauds
    Feb 2021 – Aug 2022
  • •Contributed in building risk scoring models and rule-based detection systems by analysing 5,000+ historical fraud cases, improving fraud detection rate and helped save more than ₹1Cr+ by proactively blocking the transactions and reducing false positive rates by 40%.
  • •Perform trend, merchant and demography analysis on cybercrime incidents including phishing, account takeovers, and unauthorised transactions occurred in South India and create weekly and monthly reports, Excel Dashboards and presentations.
  • •Collaborated with Card monitoring and operations teams to develop data-driven alert mechanisms based on the historic fraud occurrences and processing millions of daily transactions, achieving 95% accuracy in suspicious activity detection with <2-minute response time.
  • •Investigate daily card, NetBanking, UPI fraud cases by piecing together IP locations, device fingerprints, SMS OTP logs, and merchant transaction trails—solved 100% of assigned cases within TAT and prevented ₹1.2+ Cr in potential losses through early intervention.
    • Risk Investigation Manager - Retail Assets
    Aug 2020 – Feb 2021
  • •Managed risk process for over 10 different banking products mainly including Retail Assets like PL, AL, TWL, GL, and credit cards following disbursement of loans from low ticket to high ticket size of 50 lakhs.
  • •Perform audit and seeding operations on vendors and internal stakeholders, Risk sampling/​investigation of credit cards/​merchant acquiring applications- Ecommerce/​payment gateway.
  • •Detection of portfolio frauds and recovery Monitoring the portfolio quality by investigating Non-starter, early mortality cases, and collections referred cases.
    • Projects
    Langbox, Free AI writing tool

    Free AI writing tools are very limited in terms of number of tools and characters limits. Built a comprehensive writing toolbox with over 50+ tools with a very large free character limit.

    ShareCharge, Chargebnb for EV

    Electric vehicle adoption is often hindered by "range anxiety" and the lack of a pervasive charging network. ShareCharge is a marketplace that connects private charger owners (Hosts) with EV drivers (Travelers). We put the thousands of home chargers sit idle for 20+ hours a day to use.

    Flash.co App - NPS Analysis, Net Promoter Score analysis based on Playstore & Appstore reviews

    Scraped the entire comments of Flash.co app and performed all the data cleaning and transformation using python and built a Dashboard using Tableau showcasing the Analysis

    SaaS Revenue Analytics Platform

    A comprehensive, production-ready SaaS Revenue Analytics platform that provides powerful financial insights for SaaS companies, from startup metrics to investor-ready reporting.

    Skills
    SQL

    Advanced queries, Subqueries, Window functions, CTEs, Query optimization, Joins

    MySQL, PostgreSQL, BigQuery

    Excel

    XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, Advanced Excel, Pivot tables, Power Query, Power Pivot, DAX, Interactive dashboards, Google sheets

    Clevertap

    Funnel analysis, Behavioral segmentation, Cohort analysis, Campaign analytics (Push/​Email/​In-app), A/​B testing, Churn prediction

    Visualisations
    • •Lookerstudio
    • •Ready
    • •Metabase
    • •Streamlit
    Streamlit
    • •Dashboard
    • •AI agent
    • •MIS reports
    Git

    Github, GitLab

    Repo Management, CI/​CD, GitHub actions

    Tableau

    Dashboards, LOD expressions, Calculated fields, Parameters, Performance optimization, Actions, Data blending

    Tableau Desktop, Tableau Server, Tableau prep builder

    Python

    Pandas, NumPy, Matplotlib, Seaborn, Flask Streamlit, Jupyter Notebook, API integration, Web scraping (BeautifulSoup), Automation

    Posthog

    Product analytics, Session replay, HOGQL, A/​B testing, User path analysis, Behavioral cohorts, Custom dashboards, Event analysis, Dropoff analysis.

    Power BI

    Powerquery, Data cleaning and Transformation, Data Modelling, Dashboards, Basic DAX

    Airflow

    DAG development, Task scheduling, Pipeline monitoring, Facebook Data Pipeline, Snapchat Spends Data ingestion.

    Automation Tools

    Zapier, N8N, Make

    Business Skills
    SaaS

    MRR/​ARR, Churn rate, User engagement, Feature adoption, Retention cohorts

    Business analysis

    A/​B testing

    Marketing Metrics

    CPA, ROAS, CTR, Attribution modeling, Campaign optimization

    Ecommerce

    AOV, CLV, Cart abandonment, GMV

    Education
    Anna University, MBA - Marketing and Finance
    Jul 2018 – Jun 2020
    Paniamalar Engineering College, B.E Mechanical Engineering
    Jul 2014 – Apr 2018