Turning business data into actionable insights through SQL, Excel, Power BI, Python, and automation.
I am an IIT Bombay graduate currently working as a Business Analyst in Bangalore. My core work revolves around analyzing complex business data, building interactive dashboards, and automating operational reporting.
In my day-to-day role, I go beyond merely reporting numbers. I explore data across customer funnels, marketing channels, and business units to find patterns, diagnose underlying issues, and deliver conclusions that lead to tangible improvements in business processes and sales workflows.
To keep operations agile, I actively leverage AI tools and automation (Copilot, ChatGPT, and Python scripts) to streamline repetitive reporting, consolidate multi-workbook Excel spreadsheets, and speed up data wrangling — freeing up time for deeper analytical problem-solving.
With a strong grounding in both analytical tools (SQL, Excel, Power BI, Zoho Analytics) and software engineering foundations (Python, Java, C++, APIs, and DSA), I build practical, reliable solutions that connect business questions with measurable outcomes.
Sales funnels, revenue metrics, Customer Lifetime Value (LTV), and cohort retention — using data to guide real operational decisions.
Automating recurring reports and building live executive dashboards in Power BI, Zoho Analytics, and Excel to monitor key KPIs.
Integrating AI tools for rapid data harmonization, SQL query structuring, and workflow automation to accelerate analytical output.
Solid programming and systems background from IIT Bombay — Python, Java, C++, REST APIs, databases, and 300+ DSA problems solved.
Delivering data-driven insights, automated reporting, and operational efficiency across business teams.
An end-to-end analytical study across customer segments, business units, and marketing channels that diagnosed retention patterns and reshaped field sales operations.
Customer Lifetime Value (LTV) was not being tracked systematically across customer touchpoints. Without a unified view of customer value and retention decay, business leadership lacked visibility into which acquisition channels delivered sustainable value versus high early drop-off.
Aggregated and modeled multi-source transactional, CRM, and campaign data using SQL, Advanced Excel, and Power BI. Sliced customer cohorts across Business Units, geographic regions, tier-wise cities, marketing acquisition campaigns, and product categories to map out cumulative revenue trajectories and churn inflection points.
Identified critical disparities in customer value across different channels and regions. Revealed that long-term customer retention — rather than purely top-of-funnel acquisition volume — was the primary determinant of overall customer lifetime value.
The analysis provided executive visibility into customer profitability and directly contributed to a new sales setup that restructured how Field Business Development teams prioritize high-value customer accounts and manage post-sales relationship touchpoints.
Specialized in data analytics, business intelligence, and reporting automation, backed by a rigorous computer science foundation.
Core analytical stack for querying, modeling, and executive dashboarding
Translating ambiguous operational questions into structured evidence and workflows
Solid computer science and backend engineering foundation
Data storage, transformation engines, and developer environment
I leverage AI as a force multiplier for productivity — eliminating repetitive manual reporting, cleaning messy spreadsheets, and accelerating analysis without replacing rigorous critical thinking.
Automated routine MIS reports and daily metrics compilation using AI-assisted scripts, eliminating manual copy-pasting and repetitive workbook updating.
Used Microsoft Copilot and automated scripts to fetch, parse, and harmonize disparate data from multiple Excel workbooks into unified structured datasets for reporting.
Leveraged generative AI to rapidly generate complex SQL queries, formulate regex patterns for messy CRM strings, and build exploratory visualization prototypes.
Used AI tools to streamline high-frequency hourly operations reporting and format ad-hoc analytical summaries for rapid stakeholder decision-making.
Utilized AI models to assist with code reviews, debug backend logic, scaffold automated tests with Pytest, and optimize SQL query execution plans.
Employed LLM prompts to rapidly construct complex multi-table joins, window functions, and CTEs, accelerating ad-hoc data investigations and query tuning.
A concise feed of technology, business, India, world and science developments I'm tracking. Every story links directly to its source.
Massive spending on AI infrastructure is reshaping the technology economy, while analysts debate how quickly the investment can translate into durable productivity and revenue.
The administration has created a new task force focused on coordinating federal AI initiatives and assessing risks and opportunities around advanced AI.
OPEC+ agreed to keep November production targets unchanged, with the group signaling that larger policy adjustments are unlikely until later.
The fintech has emerged as Europe's most valuable startup as it expands beyond foreign exchange into a broader financial-services model.
Protests took place in Delhi and Mumbai over voter-roll changes; the Election Commission and BJP reject claims that the revisions are politically motivated.
India finished the 2026 Asian Games with 85 medals, including 21 golds, according to Indian Express reporting.
Brazilian voters went to the polls in the first round of a competitive election shaped by economic concerns, corruption allegations and foreign-policy debate.
Voters in Bosnia and Herzegovina are choosing representatives in an election closely watched for its implications for the country's European Union path.
Authorities reported two deaths and one person missing after heavy rains caused flooding across parts of Catalonia.
President Lee Jae Myung ordered an investigation into recent personal-data leak incidents involving banks, financial companies and public agencies.
German Chancellor Friedrich Merz announced additional military and energy-infrastructure support during a visit to Kyiv.
September payroll growth came in below expectations, while unemployment rose to 4.2%, influencing expectations around the Federal Reserve's next rate decision.
News is for informational purposes. Sources retain their own reporting and publication dates.
Practical applications spanning analytics frameworks, modern data pipelines, automated backend systems, and AI tools.
A B2B SaaS financial modeling and churn diagnosis engine tracking MRR/ARR waterfalls, Net Revenue Retention (NRR), CAC payback, and triangular cohort retention decay.
An experimentation and growth analytics platform for multi-step e-commerce checkout funnel drop-off analysis, Two-Proportion Z-tests, Welch's T-tests, and statistical sample size planning.
A dimensional data warehouse pipeline using Kimball star-schema modeling, modular staging/marts SQL transformations with DuckDB, automated schema quality tests, and rolling Z-score anomaly alerting.
An automated price tracking engine that queries flight APIs, stores historical prices in MySQL, detects price drops using statistical baselines, and dispatches automated email alerts.
From engineering foundations at IIT Bombay to business analytics in high-growth operational environments.
B.Tech — Metallurgical Engineering and Materials Science
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Data Analytics · Backend Systems · Open-Source Projects
Emoha Elder Care · Bangalore
Sales & revenue analytics, automated MIS dashboards, lead funnel optimization, and Customer Lifetime Value (LTV) cohort modeling.
Leading cross-functional student teams, managing operations, and executing institute-scale events at IIT Bombay.
IIT Bombay
56th Inter-IIT Sports Meet
Graduate
B.Tech Class of 2025
JEE Mains
Top 2% Nationwide
JEE Advanced
Top Engineering Entrance
DSA Solved
Algorithmic Problems
Research Award
NCAIR
I am actively exploring roles in Data Analytics, Business Analysis, Product Analytics, and BI / MIS.