- Developed 20+ custom Python-based web scraping and extraction workflows to harvest market intelligence, reducing manual data collection by 31% and accelerating enterprise market-entry decisions.
- Deployed real-time data integration pipelines connecting external financial APIs via Python, automating market intelligence workflows to eliminate 10 hours of manual aggregation per week.
- Executed strict data validation workflows across equity, derivatives, forex and commodities leveraging SQL and Python, maintaining 100% data integrity for institutional reporting.
- Integrated Sensex datasets into established market-data architectures, expanding equity-index coverage beyond Nifty 50 and Bank Nifty to broaden analytical scope.
Hi, I'm Abhijeet.
Data Analyst with 3.5+ years of experience architecting scalable ETL pipelines and predictive models using Python and SQL. Experienced in derivatives analysis, equity index integration and macroeconomic forecasting, with work focused on automated, high-integrity data workflows and executive decision-making.
Turning complex data into scalable analytical systems.
A data-focused career spanning market intelligence, real estate, SaaS, financial services and open-source projects.
Data × Systems × Decisions
My recent work focuses on scalable ETL pipelines, predictive models, market intelligence and high-integrity enterprise data workflows.
Professional summary
Data Analyst with 3.5+ years of experience architecting scalable ETL pipelines and predictive models using Python and SQL.
Streamlined data workflows to drive strategic project completions, contributing an additional $50,000 in project revenue. Expertise in derivatives analysis, equity index integration, and macroeconomic forecasting to optimize asset acquisition and institutional market-entry strategies.
Positioned to deliver automated, high-integrity enterprise data architectures that accelerate executive decision-making and cross-functional reporting accuracy.
Work I've done.
Experience across data analytics, market intelligence, real estate, SaaS, financial services and digital commerce.
- Transformed 100+ legacy market reports into structured datasets using Snowflake and SQL, streamlining ETL workflows to contribute an additional $50,000 in project revenue.
- Developed interactive Power BI dashboards visualizing housing-market trends, increasing client engagement with data insights by 24%.
- Forecasted residential home-price appreciation by deploying Python predictive models on historical pricing and macroeconomic indicators, achieving a 73% forecasting accuracy rate.
- Analyzed demographic and regulatory datasets to identify high-potential geographic markets, eliminating structural anomalies to improve reporting accuracy by 15% and directly supporting 10 property acquisitions.
- Analyzed operational metrics to identify process bottlenecks, streamlining data-integration workflows to reduce enterprise client onboarding turnaround time from 15 days to 7 days.
- Validated API integrations across Meta, Shopify and WooCommerce for 124+ clients, resolving data inconsistencies and securing accurate commerce reporting.
- Designed data-driven customer acquisition journeys for WhatsApp commerce, driving a 10% increase in conversion rates through optimized targeting.
- Executed data-validation workflows across high-volume U.S. mortgage records using proprietary ERPs, completing stringent quality checks to maintain database accuracy.
- Conducted financial analysis of U.S. mortgage applications using statistical risk assessments to evaluate complex borrower assets and determine market exposure.
- Programmed custom macro workflows for mortgage compliance tracking using Excel VBA, eliminating 10 hours of manual audit preparation per week for the underwriting division.
- Constructed automated daily production scorecards via Excel, tracking team-wide processing metrics to increase overall department operational efficiency by 10%.
Technical breadth built around analytics.
The complete skill set from the latest resume, organized in the same priority and categories for easy scanning.
Languages & Databases
Business Intelligence (BI)
Advanced Analytics
Data Engineering
AI & Automation
Projects beyond the job title.
Three projects spanning open-source software, real-time housing data and options analytics.
Pebble Icon Theme for Linux
Open-source Linux UI project for GTK and KDE environments.
DIY Mortgage Website (US Home Data)
Dynamic platform with real-time housing data integration and analytical dashboards.
Option Chain Analysis
Python-based statistical forecasting tool and audit system for analyzing options contracts.
Leadership, business building and engineering.
Experience beyond analytics that shaped my approach to leadership, commercial thinking and execution.
Team Manager — ZFR
Motorsport team competing in FSAE competitions with in-house designed open-cockpit formula cars.
- Directed a 50-person cross-functional engineering division through the end-to-end design and manufacturing of a Formula Student race car.
- Delivered strategic corporate investment pitches that secured a 50% increase in team funding.
- Earned the "Best Business Presentation" award at FSAE Australia in February 2018.
Digital Solutions Consultant
Complete digital solutions for D2C brands through brand development and e-commerce platform deployment.
- Deployed customized Shopify and WooCommerce e-commerce platforms for 15+ D2C brands.
- Produced comprehensive digital assets including logos, brochures and commercial video content for 30+ clients using Adobe Creative Suite.
- Supported accelerated brand market launches through combined e-commerce deployment and digital asset production.
Academic foundation and recognition.
Education
Award
Let's connect.
Data analytics, market intelligence, financial analysis, digital products or an interesting problem to solve.