Aditya Singhal

AI/ML Engineer | Data Scientist

house no 81/A street no 2, 141015, Ludhiana, India.

About

Highly motivated and results-driven AI/ML Engineer with a strong foundation in machine learning, deep learning, and data analysis. Proven ability to develop and deploy predictive models, optimize data processes, and create actionable insights from complex datasets. Eager to leverage expertise in Python, SQL, and various AI/ML frameworks to solve challenging problems and contribute to innovative solutions in a dynamic environment.

Work

Board Infinity

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AI and ML Trainee

Phagwara, Punjab, India

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Summary

As an AI and ML Trainee, optimized data extraction, built actionable dashboards, and developed machine learning models to enhance decision-making and operational efficiency.

Highlights

Optimized SQL procedures for high-volume data extraction, significantly reducing query runtimes and enhancing data accuracy.

Developed and deployed Power BI dashboards to transform raw data into actionable insights, improving decision-making processes.

Automated complex Excel reports using advanced formulas, pivot tables, and conditional logic, streamlining data analysis and reporting.

Developed and evaluated diverse ML models (regression, classification, clustering) using Python, validating performance for production readiness.

Volunteer

Volunteer

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Lok Seva Society

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As a Volunteer, led and supported social welfare initiatives, demonstrating strong community engagement and organizational skills.

Highlights

Led and supported diverse social welfare initiatives, including blood donation camps and ration distribution, impacting underprivileged populations.

Coordinated community outreach programs, fostering engagement and delivering essential support to vulnerable groups.

Education

Lovely Professional University

Phagwara, Punjab, India
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Bachelor Of Technology Computer Science and Engineering

Ryan International School

Ludhiana, Punjab, India
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Intermediate Science

Certificates

Competitive Programming

Cipher Schools

C++ Specialization

Coursera

Principles Of Generative AI

Infosys

Automation Associate Developer

ICT Academy

Introduction To IOT

NPTEL

Skills

Languages

Python, Java, C++, SQL.

AI/ML Domains

NLP, Computer Vision, Reinforcement Learning, Time Series Analysis, LLMs, Generative AI, Predictive Analytics.

Frameworks & Libraries

Scikit-learn, Keras, NLTK, OpenCV, Pandas, NumPy, Matplotlib, Seaborn, LangChain, HuggingFace, Streamlit, Yolov4, FAISS.

Tools & Methodologies

Power BI, Microsoft Excel, Data Preprocessing, Model Evaluation, Hyperparameter Tuning, Data Visualization, SQL Optimization, Decision Support Systems, Automation, Problem Solving, Data Accuracy.

Projects

Scheme Research Tool

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Summary

Built a local Streamlit application for scheme Q&A, leveraging LangChain and HuggingFace models for advanced semantic search and data extraction.

Age and Gender Detection

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Summary

Designed and implemented a computer vision system for real-time age and gender estimation from facial images, achieving high accuracy.

Wave Energy Converter

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Summary

Developed a predictive machine learning model for wave energy estimation, optimizing performance and achieving significant accuracy improvements.