Data Science & Machine Learning Intern
Infotact Solutions · Remote
month internship program at Infotact Solutions while studying at SRMIST Ramapuram.
Data Science - Data Analytics - Business Analytic - AIML Engineer
Data Scientist | Data Analyst | AIML Engineer Results-driven Data Scientist, Data Analyst, and AI Engineer with a B.Tech in Computer Science and Engineering. Skilled in Python, SQL, Machine Learning, Deep Learning, Data Analytics, Data Visualization, Power BI, Statistical Analysis, Predictive Modeling, and Generative AI. Experienced in developing end-to-end data-driven solutions, building interactive dashboards, performing exploratory data analysis (EDA), and deploying machine learning models for business intelligence and decision-making. Proficient in TensorFlow, Scikit-learn, XGBoost, Pandas, NumPy, LangChain, and cloud technologies. Passionate about leveraging AI, analytics, and automation to solve complex business problems and drive organizational growth.
Tools and tech this candidate has shipped with.
A timeline of roles, companies and impact.
Data Science & Machine Learning Intern
Infotact Solutions · Remote
month internship program at Infotact Solutions while studying at SRMIST Ramapuram.
AI & ML Intern
Infosys Springboard · REMOTE
Description Built AI and Machine Learning solutions using Python, turning data into smart predictions and actionable insights. Impact Strengthened real-world AI skills and delivered data-driven solutions through hands-on project experience. 🚀
AI & Data Analytics Intern
Xylofy AI · Remote
Description Built AI-powered solutions using Machine Learning, Data Analytics, and Explainable AI techniques on real-world datasets. Impact Delivered predictive models and interactive dashboards while gaining hands-on experience in solving business problems with AI. 🚀📊🤖
Data Analytics Intern
Decode Labs · Remote / Virtual
Worked on data analytics and machine learning projects involving data cleaning, exploratory data analysis, visualization, and predictive modeling. Delivered project milestones, generated actionable insights from datasets, and strengthened practical skills in Data Analytics, Machine Learning, Python, and business intelligence. 📊🚀
Data Science & Machine Learning Intern
Xylofy AI · Remote
Description Worked on Data Science, Machine Learning, and AI projects, applying data analysis, predictive modeling, and explainable AI techniques to solve real-world business problems. Impact Developed industry-ready skills in Data Science and Machine Learning through hands-on projects, model development, and data-driven decision-making. 🚀📊🤖
Data Associate L1 Intern
Infotact Solutions · Remote
Description / Impact: Joined Infotact Solutions as a Data Associate L1 Intern, working on real-world Data Science and Machine Learning projects. Applied data analysis, predictive modeling, and machine learning techniques to solve business problems while strengthening skills in AI, analytics, and data-driven decision-making. Gained hands-on industry experience and contributed to building practical, impactful solutions. 🚀📊🤖 Short Version (Portfolio-Friendly): Working on Data Science and Machine Learning projects, building predictive models and extracting insights from data. Enhancing AI and analytics expertise through hands-on industry experience and real-world problem-solving. 🚀
Verified credentials issued by Infotact Solutions.
Hand-picked builds with live links and source.
Real-Time Fraud Detection System with Explainable AI
Developed a machine learning-powered fraud detection platform that detects fraudulent transactions in real time and explains the reasoning behind flagged transactions.
Customer Churn Analysis System
Created a churn prediction solution that predicts customers likely to leave a service, enabling businesses to take preventive actions.
Sentiment Analysis System
Developed an end-to-end NLP pipeline that analyzes customer reviews and classifies them as Positive, Negative, or Neutral, providing insights into customer feedback trends.
Anesthesia Prediction System
Built an application that predicts appropriate anesthesia dosages based on patient parameters, enhancing clinical decision-making with machine learning.
Sales Analytics Dashboard
Created a comprehensive dashboard to monitor sales metrics, enabling data-driven decision-making and improving operational visibility.
Walmart Sales Prediction using Machine Learning
Developed a forecasting system to predict Walmart store sales for the next 12 weeks, aiding in demand forecasting and inventory planning.
Online Retail Prediction Model
Created a Decision Tree-based model to analyze retail data and predict outcomes based on customer and transaction patterns.
Placement Prediction & Salary Forecasting using Machine Learning
Developed a model that predicts placement success and salary forecasts, achieving 88.7% accuracy and providing insights into key factors influencing outcomes.
Gold Price Prediction using Machine Learning
Created a system that forecasts gold prices using historical data and machine learning models, providing insights into future trends.
Sale Analytics Dashboard
What It Does: Provides KPI tracking, trend analysis, and business intelligence insights through interactive dashboards. What You Built: Designed and developed a dashboard that transforms raw business data into actionable insights. Impact: Enhanced reporting efficiency and supported data-driven decision-making. 📊✨
Email Spam Detection using NLP
What It Does: Classifies emails as Spam or Not Spam using Natural Language Processing techniques. What You Built: Built a complete NLP pipeline including text preprocessing, feature extraction, model training, and evaluation. Impact: Improved email filtering accuracy and automated spam detection. 📧🤖
Manufacturing & Automotive – Contextual Predictive Maintenance (IoT Edge AI)
What It Does: Predicts potential machine failures before they occur by analyzing sensor data and contextual environmental factors, helping reduce downtime and maintenance costs. What You Built: Developed an end-to-end predictive maintenance solution using IoT sensor data, feature engineering, machine learning models, and Explainable AI (SHAP). Created interactive dashboards to monitor equipment health, failure risks, and maintenance insights in real time. Impact: Improved predictive maintenance capabilities by identifying equipment failures early, enabling proactive maintenance, reducing operational downtime, and supporting data-driven decision-making in manufacturing and automotive environments. 🚗🏭📊🤖
Walmart Sales Forecasting
Developed machine learning forecasting models using historical retail sales datasets, improving forecasting accuracy through trend analysis and feature engineering.
Real-Time Fraud Detection System with Explainable AI
Developed a machine learning-powered fraud detection platform that detects fraudulent transactions in real time and explains the reasoning behind flagged transactions.
Customer Churn Analysis System
Created a churn prediction solution that predicts customers likely to leave a service, enabling businesses to take preventive actions.
Sentiment Analysis System
Developed an end-to-end NLP pipeline that analyzes customer reviews and classifies them as Positive, Negative, or Neutral, providing insights into customer feedback trends.
Anesthesia Prediction System
Built an application that predicts appropriate anesthesia dosages based on patient parameters, enhancing clinical decision-making with machine learning.
Sales Analytics Dashboard
Created a comprehensive dashboard to monitor sales metrics, enabling data-driven decision-making and improving operational visibility.
Placement Prediction & Salary Forecasting using Machine Learning
Developed a model that predicts placement success and salary forecasts, achieving 88.7% accuracy and providing insights into key factors influencing outcomes.
Gold Price Prediction using Machine Learning
Created a system that forecasts gold prices using historical data and machine learning models, providing insights into future trends.
First contribution: 2025-07-21
GitHub contribution heatmap (past year)
@tamil_012
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219 submissions in the last year
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