B. Tech in Information Technology | Honours: Artificial Intelligence and Machine Learning

K. J. Somaiya Institute of Technology - Sion, Mumbai

9.71/10.0 CGPA

Higher Secondary Certificate (H.S.C.) | Vocational Course: Computer Science

S. S. & L. S. Patkar College of Arts & Science - Goregaon, Mumbai

86%

Secondary School Certificate (S.S.C.)

Millat High School - Jogeshwari, Mumbai

88%

Packaged App Development Associate, Accenture

• Earned the prestigious ServiceNow Certified System Administrator (CSA) certification with additional ServiceNow credentials, including Micro-Certifications for Flow Designer and Welcome to ServiceNow, along with 15 related badges..

• Completed JAVA SE stream training (1 Month) with merit, earning recognition on Accenture's Wall of Fame.

• Completed the Generative AI Certification and Learning Journey through Accenture's GenWizard program.

• Successfully completed the Delivery Foundation Academy (DFA), enhancing delivery and project management skills.

• Accomplished the NVIDIA Knowledge Quest: Foundation certification, expanding AI and GPU computing expertise.

• Achieved certification for Agile in the NEW, gaining in-depth understanding of Agile methodologies.

• Became a certified Mental Health Ally, supporting mental well-being initiatives.

Data Science Intern, TATA Power

• Developed AI-Based Short-Term Load Forecasting system achieving 95% Accuracy.

• Designed new data input structure for model optimization by considering 96 blocks.

• Explored various model variants (LSTM, ANN, Arima, Sarima, RFR, Seasonal) to boost accuracy.

• Fine-tuned models for Festival periods based on feature importance.

• Established backend pipeline with API endpoints for seamless model integration.

• Crafted visually engaging Power BI Dashboard for comprehensive insights.

• Engineered 14-day & Including_Today Load prediction models, integrating into backend pipeline.

• Rigorously tested, optimized, and integrated external backend contributions for system reliability.

• Leveraged a tech stack including Python, TensorFlow, Scikit-learn, FastAPI, Power BI, Git and more for project development and optimization.

Data Analyst Intern, India Meteorological Department (IMD)

• Developed a comprehensive Weather Data Analytics Dashboard for the Pune region, aimed at visualizing and analyzing weather data.

• Designed an intuitive user interface to present weather insights in an accessible manner.

• Mined actionable insights from the data to understand the implications of climate on key sectors such as healthcare, agriculture, and beyond, leveraging accurate weather data.

• Showcased weather patterns, seasonal trends, and extreme weather events to facilitate informed decision-making.

• Leveraged a tech stack including Python, Power Automate, SharePoint, Power BI and more for project development and optimization.

Machine Learning Intern, India Meteorological Department (IMD)

• Developed Heatwave Watch System with high KPCC (~80%) and accuracy (~92%) with RMSE of 3°C based on weather parameters.

• Conceptualized and implemented segmentations using advanced techniques to deal with data inconsistencies.

• Created and optimized 28 deep learning models (DNN, LSTM) and evaluated their performance.

• Designed robust pipelines and created efficient API endpoints.

• Leveraged a tech stack including Python, TensorFlow, Scikit-learn, Flask, Git and more for project development and optimization.