I'm a Data Professional with 3+ years’ experience driving insights, efficiency gains, and $1M+ cost optimizations. MSc. Business Analytics (Top 2%, Trinity College Dublin). Proficient in requirements gathering, KPI definition, SQL, Python, Tableau, Snowflake, and ETL automation. Strong in stakeholder engagement, predictive analytics, and data storytelling.

Languages & Libraries: Python, R, SQL, TensorFlow, Scikit-learn, NumPy, Pandas, Streamlit Cloud Platforms: AWS (SageMaker, Lambda, S3, Athena, EC2), Snowflake Data & Visualization: Tableau, Power BI, Jupyter, PyCharm, VS Code Analytics Skills: Predictive Modeling, GenAI, A/B Testing, Anomaly Detection, Clustering, Forecasting Other Tools: Data Storytelling, Stakeholder Communication, KPI Definition, Process Mapping, Agile Reporting, ERP familiarity, Operational & Financial Analytics, Agile.

Jan 2023 – Aug 2023

• Analysed 10M+ customer interactions and segmented user cohorts using Python, SQL, and AWS Athena, which reduced ad spend by 3% (~$30K) through optimized channel targeting.
• Developed functional specifications, process flows and use cases for automated Tableau dashboards with SQL queries on AWS Athena, enabling real-time visibility of acquisition costs and retention trends.
• Conducted statistical analysis on 10M+ player interactions to identify churn patterns, delivering executive dashboards that informed feature development decisions and improved player retention.
• Implemented end-to-end ETL reporting workflows using AWS Lambda and S3, reducing turnaround time by 40% and boosting team efficiency.

Oct 2020 – Jan 2023

• Spearheaded predictive cost modelling on $1M+ procurement projects using SQL, Python, and statistical forecasting, identifying 30% cost optimization opportunities and reducing budget overruns.
• Achieved a 40% reduction in CAPEX/OPEX reporting time by optimizing ETL pipelines and eliminating manual data handling.
• Designed 30+ Tableau and Excel dashboards to monitor budget health, procurement KPIs, and financial variances for 10+ stakeholders.
• Performed root cause analysis on budget variances using statistical methods and data visualization, identifying key cost drivers and presenting findings to C-level executives through dashboards.

May 2025 – Jun 2025

• Developed a multi-agent GenAI architecture (Gemini Flash, Python, PIL) with structured output generation and OCR parsing.
• Achieved 92% ingredient detection accuracy and 85% expiry extraction automation, with recipe recommendations optimized via end-to-end ML pipelines and modular orchestration.

Jan 2025 – Feb 2025

• Created predictive models using TensorFlow and technical indicators (MACD, RSI, Bollinger Bands) to analyze S&P 500 patterns.
• Achieved above-random directional accuracy and visualized investment signals for decision support.

May 2024 – Jul 2024

• Implemented anomaly detection models on 1.82 billion energy consumption data points, identifying $100K+ in potential cost savings through server load optimization.

Mar 2024 – Apr 2024

• Performed comprehensive A/B testing analysis using statistical significance testing (chi-square, t-tests) to validate conversion rate hypotheses with 95% confidence intervals.
• Built interactive Tableau dashboards to visualize customer journeys and track conversion KPIs, providing insights that projected a 15% increase in retention. ( Project Link )

🔗 View Tableau Story

Feb 2024 – Mar 2024

• Built an NLP system to analyze content flow across Reddit, Twitter, and news sites, identifying 80% of key influencers.
• Used LDA topic modeling and graph analysis to detect emerging trends and sentiment shifts.
• Visualized insights using Tableau dashboards showing network graphs and influencer trajectories.

• MSc Business Analytics, Trinity College Dublin Grade 1:1 (Top 2%), Sep 2023 – Aug 2024 Courses: Big Data, Financial Analytics, Social Media Analytics, Data Mining, Visualization, DBMS

• B.Tech, Electrical Engineering & Machine Learning, Delhi Technological University First Class Honors, Aug 2016 – Jul 2020 Courses: Statistical Analysis, Machine Learning, Python, DSA

• Outstanding Client Impact Award, JLL (2023 & 2021) Received Outstanding Client Impact Award and Recognition Note from Executive Team for delivering high-impact insights and exceeding stakeholder expectations at JLL.

I’m always excited to collaborate on analytics, AI, or ML-driven projects — especially those at the intersection of business and data science.

LinkedIn → GitHub → Resume →