Data Science Leader || AI Innovator || Full Stack ML Engineer

My Journey in Data Science and AI

With over six years of experience in the field, I’m passionate about using data and AI to create a better, more sustainable future. I thrive in environments that value innovation and progress, and I find immense satisfaction in tackling complex challenges and transforming them into impactful solutions.

Currently, I’m leading the AI efforts at SparkCognition, developing and deploying cutting-edge AI solutions that leverage the power of Large Language Models (LLMs). We’re revolutionizing industries like renewable energy, where our AI-powered predictive maintenance systems are increasing efficiency and reliability, saving companies millions. I’m also deeply involved in building robust data pipelines that democratize access to data and AI, making these powerful tools accessible to everyone.

Before SparkCognition, I developed my skills at Texas A\&M University, researching machine learning to predict wind energy problems. I also gained experience at Utilities and Energy Services, creating models to track energy use based on weather.

I’m passionate about using AI for positive change. My goal is to build AI solutions that make the world better, especially in areas like sustainability. I was a Data Ambassador at DataKind, where I volunteered my time to help nonprofits leverage data science for social good.

I’m eager to connect with others passionate about data and AI. Let’s collaborate to drive positive change with data-driven solutions.

Skills

Data Science & Machine Learning

• Core Competencies:
  • Predictive Modeling & Analytics, Time Series Forecasting, Anomaly Detection
  • Deep Learning (CNN, RNN, LSTM, Transformers), Supervised & Unsupervised Learning
  • Large Language Models (LLM): Fine-tuning, Retrieval-Augmented Generation (RAG), Unsupervised Learning
  • Model Optimization, Hyperparameter Tuning, Feature Engineering
  • AI-driven Solution Development

Machine Learning Libraries

• Libraries & Frameworks:
  • PyTorch, TensorFlow, Scikit-learn, XGBoost, Statsmodels, Darts
  • Transformers, LangChain, LlamaIndex

Data Engineering & Cloud

• Cloud & Big Data Technologies:
  • Cloud Computing & Serverless Architectures (AWS, GCP, Azure)
  • Real-time Data Processing & ETL (Apache Airflow, Dask, Pandas)
  • Big Data Technologies (Spark, Hadoop)

Software Development

• Programming Languages:
  • Python, R, SQL, Bash, JavaScript
• Development Tools:
  • Version Control (Git, GitHub), API Development (FastAPI, Flask)

MLOps & Automation

• MLOps & Workflow Automation:
  • CI/CD Pipelines, Model Serving & Monitoring (MLflow, BentoML)
  • Workflow Automation (Apache Airflow), Experiment Tracking

Data Visualization & Analysis

• Visualization Tools:
  • Matplotlib, Seaborn, Plotly, Dash, PowerBI
• Exploratory Data Analysis (EDA):
  • Statistical Analysis, Data Cleaning, Feature Selection

Other Tools & Technologies

• Additional Tools:
  • Docker, Linux, High-Performance Computing (GPU/CPU)
  • Project Management & Leadership, Agile Methodologies (Scrum, Kanban)

Projects

• Pravah- Local perplexity Aug 2024
• NueroBuddy Mistral Hackathon March 2024
• StreamLens Ragathon Feb 2024
• Power Curve Estimation for Wind Energy Farms
• Exploratory Data Analysis of Mercedes Green Manufacturing Challenge
• Portfolio Analysis on New York Cab Data (Data Open – 2018)
• Predicting Drowsiness related lane departures
• Predicting the relevance of search results on HomeDepot.com
• Customer Relationship Prediction: customer churn, appentency and up-seliing
• Phase 1 Analysis of Multivariate Quality Control Data for an Industrial Forging Process

Languages

• English
• Hindi
• Gujarati
• German (Elementary proficiency)

Honors & Awards

• Winner at Ragathon by LlamaIndex (Feb 2024)
• Outstanding Master’s of Science Student (Apr 2019)
• 2nd Runnerup at Texas Datathon by Citadel (Feb 2018)

Expirience

• SparkCognition, Pleasanton, CA, USA .
  • Data Scientist III Jan 2022- Currently
  • Data Science II May 2021- Dec 2021
  • Data Scientist June 2019- May 2021 (Ensemble Energy, acquired by SparkCognition)
  • Data Science Intern June 2018- Dec 2018 (Ensemble Energy, acquired by SparkCognition)
• DataKind, Data Ambassador.
  • Data Ambassador Jan 2022 - Sep 2022
• Texas A&M University, College Station, TX, USA .
  • Graduate Research Assistant Jan 2019- May 2019
• Utilities and Energy Services, TX, USA .
  • Graduate Student Analyst Jan 2018- May 2018

Education

• Texas A&M University, College Station, TX, USA .
  • Master of Science in Industrial and Systems Engineering, minor in Applied Statistics Aug 2017- May 2019
• Gujarat Technological University, Gujarat, India .
  • Bachelor of Engineering in Mechanical Engineering Aug 2013- May 2017

Patents

• Calculating energy loss during an outage
  US20230213560A1 · Filed Dec 30, 2021
• Predicting energy production for energy generating assets
  US20230214703A1 · Filed Dec 30, 2021
• Dimension Measurement Using Image Processing and Separation of Defective Products
  IN 201721044402 · Filed Dec 11, 2017
  Other inventors