Hello, I'm

Rounak Acharyya

Aspiring Data Scientist · Data Engineer · Analyst

Translating complex business questions into production data pipelines, predictive models, and intuitive dashboards. Specializing in SQL analytics, stochastic modeling, data integrity, and root-cause telemetry.

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About

Computer Science undergraduate at Vellore Institute of Technology, Andhra Pradesh with engineering expertise across Data Science, Data Engineering, and Business Analytics. I bridge the gap between complex business requirements and IT solutions, architecting robust SQL extraction pipelines, validating data integrity, and engineering predictive models for strategic decision-making.

Currently working as a Project Fellow in Data Science, conducting applied AI/ML research. Analyzing multi-source, messy datasets, developing automated ETL pipelines, designing statistical experiments across ML models, and translating quantitative findings into plain-language executive reports and co-authored research manuscripts.

Oracle Cloud Infrastructure (OCI) Certified Data Science Professional with 1,000+ problems solved on LeetCode (970+ day streak). Detail-obsessed mindset: viewing unexpected data anomalies as investigative priorities to trace discrepancies to their root cause, whether tracking conversational AI call funnels or optimizing operational supply chains.

Education B.Tech CSE, Vellore Institute of Technology, Andhra Pradesh

Focus Data Science · Data Engineering · Analytics

Target Roles Associate Consultant · Data Analyst · Data Engineer

Availability Open to Opportunities

Experience

Project Fellow, Data Science

Remote / Hybrid

Apr 2026 · Present

Conduct applied AI/ML and statistical research on multi-source datasets, identifying latent patterns and formulating data-driven hypotheses for real-world problem solving.
Build end-to-end data pipelines: automated data extraction (SQL/APIs), data integrity checks, outlier detection, feature engineering, and multi-algorithm predictive modeling.
Execute scenario and stochastic analyses across multi-variable systems to model risk, forecast operational trends, and evaluate algorithmic trade-offs.
Design interactive dashboards and executive visual reports to communicate complex quantitative analysis in simple, plain language to both technical and business stakeholders.
Co-author research manuscripts detailing mathematical formulations, experimental methodologies, and empirical findings (currently under peer review).

Projects

FEATURED · LIVE PLATFORM

Nexus: Industrial Operations & Predictive Analytics Platform

Full-stack industrial operations and analytics platform. Integrates multi-module telemetry across orders, production, quality, and service workflows, coupled with machine learning models for customer churn prediction and revenue forecasting.

Python SQL Machine Learning Operations Analytics Interactive ERP

Open Live Platform

nexus_telemetry.py

LIVE

Revenue Stream ₹24.8Cr

+12.4%

Active Orders 1,847

+8.2%

Revenue Forecast Stream 12M ROLLING

Telemetry Grid · 100% Interactive

Launch Platform

Traffic Telemetry Analysis & Route Optimization

Analyzed 2.0M+ spatio-temporal telemetry records to forecast traffic flow and detect operational bottlenecks. Built automated SQL extraction scripts, data integrity validation, and a hybrid predictive model optimizing emergency route dispatch times by 22%.

Python SQL Machine Learning Telemetry Data Operations Optimization

AI Document & Conversational Transcript Assistant

Engineered an NLP document processing application analyzing unstructured text and conversation transcripts. Implemented entity extraction, thematic summarization, and divergence detection between agent actions and dialogue logs. Live on Vercel.

Python NLP TypeScript LLM / AI Transcript Analysis

BFSI Loan Default Risk Prediction

Built an end-to-end credit risk assessment model on complex financial datasets. Engineered debt-to-income and behavioral indicators, addressed class imbalance with SMOTE, and optimized Precision-Recall / ROC-AUC trade-offs to minimize default exposure.

Python Scikit-learn BFSI Analytics Risk Modeling Feature Engineering

Deep Spatio-Temporal Forecasting Engine

Implemented neural network architectures for multivariate time-series forecasting. Processed multi-node sequential sensor data to model non-linear trend variance and generate high-confidence predictive scenario projections.

Python Deep Learning Time-Series Forecasting Scenario Modeling Jupyter

Supply Chain & Order Management System

Designed a normalized relational database (SQL) and analytics backend for retail and supply chain order processing. Implemented automated triggers, stock level threshold monitoring, payment audit trails, and inventory turnover reporting.

SQL Database Design (DBMS) Supply Chain Analytics Automation JavaScript

Precision Agriculture Decision Engine

Developed a multi-class predictive decision engine evaluating environmental, soil, and climate parameters. Compared statistical algorithms (Random Forest, XGBoost) to generate prescriptive crop recommendations for yield optimization.

Python Scikit-learn Decision Science Prescriptive Analytics

Fitness Analytics & Retention Tracker

Web analytics application tracking daily activity metrics, workout logging consistency, and user behavioral streaks. Built custom data visualization charts and progress metrics to analyze retention patterns and performance trajectories.

JavaScript Data Visualization Behavioral Analytics Web App

Sight Scan: Edge AI & Speech Synthesis Device

Developed an IoT assistive system integrating optical character recognition (OCR) with text-to-speech cognitive synthesis. Designed headless data capture, low-latency audio pipelines, and edge cognitive automation on Raspberry Pi.

Python Computer Vision Speech Synthesis IoT / Edge AI Cognitive Automation

Skills

Data Engineering & Databases

SQL (PostgreSQL, MySQL) ETL / ELT Pipelines Data Extraction & Mining Schema Design & Normalization Data Integrity Checks SSIS & Stored Procedures Big Data (Hadoop, MongoDB) Relational DBMS

Data Science & Modeling

Python (Pandas, NumPy) Scikit-learn Statistical Analysis Stochastic & Scenario Analysis Machine Learning Deep Learning Time-Series Forecasting Feature Engineering & SMOTE NLP & Text Analytics R & SAS Fundamentals

Business Intelligence & Consulting

Power BI Tableau Interactive Dashboards Advanced Excel (Pivots, Lookups) PowerPoint & Executive Decks KPI & Funnel Analytics Data Storytelling Requirements to IT Solutions Domain Analytics (BFSI, Retail, Supply Chain)

Cloud, Automation & Workflow

Oracle Cloud (OCI) AWS Cloud Fundamentals Python Scripting & Automation Claude Code & MCP Tooling Git / GitHub VS Code & Jupyter Vercel SDLC & Agile

Certifications

Oracle Cloud Infrastructure, Data Science Professional

NPTEL, Real Time Operating System Top 1%

NPTEL, Introduction to LLMs In Progress

LeetCode

972

Day Streak

1053

Solved

29,318

Global Rank

1,533

Contest Rating

Submission Activity

724 submissions 354 active days

Current Streak:

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Get in Touch

Interested in discussing analytics consulting, data engineering pipelines, or data science opportunities? Feel free to reach out.

rounak.ach@gmail.com

LinkedIn GitHub LeetCode