Headline

Data Analyst · SQL · Python · Power BI · Tableau · DAX | AI-Augmented Analytics · GPT-4 Integration · Churn Prediction · Fraud Detection | Open to Data Analyst / BI Developer Roles

About

I turn messy data into decisions executives act on using SQL, Python, Power BI, Tableau, and Generative AI. In the last 12 months I've built 10+ production dashboards, automated 40% of manual reporting workflows, and integrated GPT-4 to auto-generate stakeholder narratives cutting analyst prep time from hours to minutes. Here's what that looks like in practice: ▸ Predicted customer churn with a Random Forest model (80% accuracy, 0.85 AUC) and wired SHAP outputs directly into a GPT-4 pipeline that wrote retention campaign copy automatically. ▸ Detected financial fraud across 200K+ transactions using Isolation Forest (92% precision) and surfaced results in a real-time Power BI dashboard with DAX-driven KPIs. ▸ Applied NLP (spaCy + BERT) to 10K+ exit interviews to quantify workforce attrition themes — feeding an XGBoost model with 88% recall that HR teams could act on. I'm fluent across the full analytics stack: SQL (CTEs, window functions, partitioned tables) · Python (Pandas, NumPy, Scikit-learn, SHAP) · Power BI & DAX · Tableau · Power Query · A/B Testing · Cohort & Funnel Analysis · OpenAI API · AWS · Snowflake Currently building a seller funnel analytics project (onboarding → activation → repeat) at Frontlines Media, applying A/B testing frameworks and LLM-assisted insight generation. If you're hiring for Data Analyst, BI Developer, or Analytics Engineer roles let's talk. 📧 challapallikasyap0103@gmail.com

Location

Hyderabad

Work experience

AI powered Data Analytics Intern at Frontlines EduTech (FLM), Jan 2026 - Present · 5 mos, Hyderabad, Telangana, India, Building end-to-end analytics pipelines combining SQL, Python, and GPT-4 LLMs cutting recurring manual reporting effort by ~30% across 3 stakeholder reports. ▸ Designed A/B testing frameworks and cohort-based retention experiments for seller incentive programs, surfacing statistically significant conversion insights. ▸ Reduced analyst report prep time from ~4 hours to under 1 hour by engineering LLM prompt pipelines for KPI summarisation and automated data cleaning. ▸ Currently developing a seller funnel analysis (Onboarding → Activation → Repeat) in Python + Tableau to identify drop-off points and improve activation rates. Skills: SQL · Python · Tableau · Power BI · GPT-4 · A/B Testing · Cohort Analysis · Funnel Analysis · LLM Integration

Data Analyst at Self-Employed, Apr 2024 - Nov 2025 · 1 yr 8 mos, Hyderabad, Telangana, India

Analog Design Engineer at SumedhaIT, Jul 2024 - Feb 2025 · 8 mos, Hyderabad, Telangana, India

Advanced certification on Emerging Technologies at Appllied Robot Control(ARC Labs), Aug 2022 - Oct 2022 · 3 mos, Learned about mechanism of automated Robots and their movements by giving instructions by software.

Embedded system designing concepts at Microlink Information Technology College, May 2022 - Jun 2022 · 2 mos, Vijayawada, Andhra Pradesh, India, Learned basics,concepts and applications of Embedded systems in real life.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Gudlavalleru Engineering College, Seshadri Rao Knowledge Village, Gudlavalleru, PIN-521356(CC-48)

Intermediate M.P.C, Science, Sri Chaitanya College of Education