Portfolio

Bachelor of Engineering in Electronics and Telecommunication (2018-2022)

Southern Power – Monitoring & Diagnostics Analyst (May 2024 – Present)
LHP Engineering Solutions – Data Science Consultant Intern (Apr 2023 – Aug 2023)


DJSCE – Data & Product Scientist (Jan 2019 – Jul 2022)
My Education

Master of Science in Data Science

Mastering the art of data-driven problem-solving, I pursued advanced analytics and AI at Indiana University Bloomington. From 2022 to 2024, I immersed myself in real-world applications of predictive modeling and machine learning.

With a GPA of 3.8/4, I consistently demonstrated a deep understanding of advanced analytics, AI frameworks, and business intelligence, securing a top percentile ranking in my program.

Specialized in predictive modeling, machine learning algorithms, and AI-driven problem-solving frameworks. Designed and implemented data-driven solutions that optimized decision-making processes in real-world scenarios.

Bachelor's of Engineering in Electronics & Telecommunication

Mastering the art of data-driven problem-solving, I pursued advanced analytics and AI at Indiana University Bloomington. From 2022 to 2024, I immersed myself in real-world applications of predictive modeling and machine learning.

With a GPA of 3.8/4, I consistently demonstrated a deep understanding of advanced analytics, AI frameworks, and business intelligence, securing a top percentile ranking in my program.

Specialized in predictive modeling, machine learning algorithms, and AI-driven problem-solving frameworks. Designed and implemented data-driven solutions that optimized decision-making processes in real-world scenarios.
My Experience

Monitoring & Diagnostics Analyst

Predicting the Unpredictable:
Engineered a breakthrough AI-powered system that forecasts ice formation on wind turbines with 15% greater accuracy, slashing operational risks and redefining turbine safety. Automated data preprocessing for 4 years of turbine data, cutting manual work by 25% and accelerating deployment like never before.
Engineered a breakthrough AI-powered system that forecasts ice formation on wind turbines with 15% greater accuracy, slashing operational risks and redefining turbine safety. Automated data preprocessing for 4 years of turbine data, cutting manual work by 25% and accelerating deployment like never before.

Decoding Battery Instabilities:
Designed an industry-first Dash-based analytics platform that transformed BESS monitoring, boosting anomaly detection by 30%. Developed the proprietary Operational Stability Index (OSI), a game-changing metric that enhances oscillation detection and reliability by 25%, setting new benchmarks in energy storage stability.
Designed an industry-first Dash-based analytics platform that transformed BESS monitoring, boosting anomaly detection by 30%. Developed the proprietary Operational Stability Index (OSI), a game-changing metric that enhances oscillation detection and reliability by 25%, setting new benchmarks in energy storage stability.

AI-Powered Automation:
Leveraged SHAP to unveil hidden operational insights, empowering smarter turbine performance. Automated real-time stability assessments with Python, cutting 15 hours of manual analysis per week, turning raw data into lightning-fast, precision-driven decisions.
Leveraged SHAP to unveil hidden operational insights, empowering smarter turbine performance. Automated real-time stability assessments with Python, cutting 15 hours of manual analysis per week, turning raw data into lightning-fast, precision-driven decisions.

Data Science Consultant Intern

Engineered a cutting-edge ML-driven strategy for INDY 500 race drivers, optimizing driving patterns to maximize speed while minimizing vehicle wear. Achieved a 40 percent reduction in maintenance impact, revolutionizing race endurance and efficiency.

Leveraged seven advanced machine learning algorithms to create real-time race simulations in Python. Automated telemetry data pipelines using SQL and Airflow, eliminating manual efforts and saving 25 plus hours per week in data processing.

Designed dynamic Power BI dashboards that transform complex race telemetry into instantaneous strategic insights. Enabled split-second decision-making for race teams, optimizing performance like never before.
Skills: Tools of Transformation
Programming Languages
Python, SQL, R, VBA, SAS
90%
Generative AI
Hugging Face, GPT-3, BERT, Transformers
75%
Data Engineering
Azure Databricks, Spark, Kafka, ETL
80%
Visualization
Power BI, Tableau, Plotly, QlikView
90%
Machine Learning Expertise
Classification, NLP, Time-Series Forecasting
95%
Soft Skills
Agile, Scrum, Project Management, Leadership
90%