Headline

Data Analyst | SQL · Python · Power BI · DAX | Cut Reporting Time 45% via Automated Dashboards | Fintech, Credit Risk & Ad-Tech Analytics | Google Certified

About

Most dashboards tell you what happened. I build ones that tell you what to do next. I'm Aditya, a Data Analyst with a year of hands-on experience turning messy, disconnected datasets into decisions people actually act on. My toolkit is SQL, Python (Pandas/NumPy), Power BI, DAX, and Excel — and I use it to build ETL pipelines, KPI dashboards, and analytics platforms across fintech, credit risk, customer churn, and ad-tech. What I've built : - Built a Mutual Fund Analytics Platform processing 46K+ NAV records and 32K+ investor transactions - Architected an N100 Financial Intelligence Platform covering 100 companies, backed by a FastAPI REST API with 16 endpoints for portfolio, risk, and screening analytics - Quantified risk exposure across a $27M lending portfolio (1,000 applications) - Uncovered a 24% churn baseline across 6,300+ customer profiles, pinpointing high-risk segments - Cut reporting time by 45% by automating Power BI workflows - Published 2 research papers on automation analytics and machine learning Right now, I'm deepening my skills in Snowflake and Databricks, and documenting every project publicly and my learning — no black box, just the real process from messy data to finished insight. I'm looking for an Associate or Junior Data Analyst role where analytics genuinely drives decisions, not reports nobody reads. If you're building something where data has a real seat at the table, let's talk or follow along if you're into analytics and hiring for the field.

Location

Hyderabad

AI stack

claude

gemini

notebooklm

openai

perplexity

Julius AI

Work experience

Data Analyst at Bluestock™🔺, May 2026 - Jul 2026 · 2 mo, Pune District, • Delivered two end-to-end fintech analytics projects, applying Python, SQL, and API development to convert raw financial datasets into decision-ready investment analytics. • Built a Mutual Fund Analytics Platform using Python/Pandas ETL workflows and a SQL-based data model, processing 46K+ NAV records and 32K+ investor transactions to analyze fund performance and AUM. • Architected an N100 Financial Intelligence Platform by integrating financial statements, ratios, and valuation data across 100 companies, automating screening and portfolio allocation for investment research. • Evaluated portfolio risk through backtesting against the NIFTY 100 benchmark, calculating Sharpe ratio, alpha, beta, and max drawdown to quantify risk-adjusted performance. • Developed a FastAPI REST API with 16 endpoints and 48+ automated pytest cases, delivering a validated, reproducible analytics platform with full investor reporting.

Data Analyst at UptoSkills, Feb 2026 - May 2026 · 3 mo, New Delhi, • Unified 6 disconnected datasets by standardizing schemas in SQL and Google Sheets, producing a single source of truth across stakeholder dashboards. • Deployed 4 interactive Power BI dashboards to visualize core KPIs for 5 stakeholders, cutting time-to-insight by 45% across weekly reporting cycles. • Automated data collection using Gemini and GPT-based AI tools, reducing manual preprocessing effort and improving pipeline reliability. • Refined unstructured raw data into analysis-ready formats, shortening reporting turnaround time for stakeholder review.

Data Analyst at Pixellkey, Dec 2024 - May 2025 · 6 mos, Nagpur, • Consolidated data from 7+ ad campaigns using SQL and Excel, resolving inconsistencies to build reporting-ready datasets for Power BI dashboards. • Engineered Power BI dashboards tracking CTR, conversion rate, AOV, and engagement KPIs, helping marketing teams flag underperforming campaigns 40% faster. • Diagnosed root-cause data inconsistencies across campaign datasets, improving data-quality scores and stakeholder trust in reporting. • Authored KPI definitions and transformation-logic documentation, cutting onboarding time for new analysts joining the team.

Python Intern at CodSoft, Jun 2024 - Jul 2024 · 2 mos, Nagpur, • Developed Python-based automation scripts using core programming concepts, solving real analytical workflow problems end-to-end. • Used Pandas and NumPy to handle, transform, and script data pipelines, building a direct foundation for data analyst responsibilities. • Applied OOP principles to write clean, reusable code, improving maintainability and strengthening core programming fundamentals.

Machine Learning Intern at Bharat Intern, Jun 2024 - Jul 2024 · 2 mos, Nagpur, • Built and evaluated classification and regression models in Python/Scikit-learn, using EDA to identify high-signal features and improve model accuracy. • Applied preprocessing techniques including normalization and feature engineering, improving model generalization on real-world datasets. • Maintained version-controlled GitHub repositories, ensuring full reproducibility of model development workflows.

Education

Bachelor of Technology - BTech, Artificial Intelligence, G.H. Raisoni College of Engineering(GHRCE), Nagpur

Delhi Public School - India

Public links

github: https://github.com/AdityaBramhwanshi