Portfolio

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

Institution: DJ Sanghvi College of Engineering

GPA: 9.12/10

Achievements: Built a solid foundation in electronics, communication systems, and data analysis with hands-on experience in innovative engineering projects.

Master of Science in Data Science

Institution: Indiana University Bloomington (2022-2024)

GPA: 3.8/4

Key Skills Developed: Advanced analytics, predictive modeling, machine learning algorithms, and AI-driven problem-solving frameworks.

Southern Power – Monitoring & Diagnostics Analyst (May 2024 – Present)

Developed AI/ML strategies to enhance predictive maintenance systems for power plants.

Leveraged Azure Data Lake, Databricks, and Synapse to design cloud-based analytics solutions.

Transformed operational efficiency by identifying and solving bottlenecks with Power BI visualizations.

LHP Engineering Solutions – Data Science Consultant Intern (Apr 2023 – Aug 2023)

Implemented 7 advanced ML algorithms, reducing manufacturing anomalies by 60% to 18%.

Automated data pipelines with Python, SQL, and Tableau, increasing efficiency by 80%.

Recognized with the Best Intern Award for saving $30K through data optimization strategies.

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

Led the development of a Precision Health Monitoring System for FORTIS Healthcare, achieving 95% precision.

Optimized customer churn prediction systems for Reliance, reducing 10% revenue loss.

Created Power BI dashboards to mitigate $124M in legal risks using data-driven insights.

My Education

Master of Science in Data Science

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Checkmark Graduate Experience
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.
Checkmark Academic Excellence:
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.
Checkmark Applied Knowledge & Technical Mastery
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

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Checkmark Graduate Experience
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.
Checkmark Academic Excellence:
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.
Checkmark Applied Knowledge & Technical Mastery
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.
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.
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.

Data Science Consultant Intern

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Checkmark AI-Powered Race Strategy Optimization
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.
Checkmark Predictive Analytics & Automation
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.
Checkmark Real-Time Decision Intelligence
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%

If You Have Any Question,
Feel Free to Call 123-456-7890

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