import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
Model Accuracy
98.56%

Mukeshram S

Data Scientist | Business Analyst

AI & Data Science engineering student with hands-on exposure to Business Analytics, data analytics, and machine learning fundamentals. Strong experience in analyzing real-world datasets, deriving structured insights, and translating analytical outcomes into actionable business decisions.

Education

Academic Background

B.Tech – Artificial Intelligence and Data Science

2023 – 2027

Dhanalakshmi Srinivasan University

Tiruchirappalli, Tamil Nadu

Higher Secondary

2023

Maharishi Vidhya Mandir Matric Hr. Sec. School

Karaikudi, Tamil Nadu

Skills

Technical Expertise

Programming & Core Skills

Python (NumPy, Pandas, Matplotlib, Streamlit)
MySQL
C & C++
Version Control (Git & GitHub)

Data Analysis

Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Statistical Analysis
Data Mining & Pattern Recognition
Correlation & Trend Analysis

Business Analytics

KPI Identification & Tracking
Requirements Gathering
Business Process Analysis
Stakeholder Communication
Data-Driven Decision Making

Machine Learning (Foundational)

Supervised Learning (Regression, Classification)
Model Evaluation & Validation
Scikit-learn & ML Frameworks
Feature Engineering

Visualization & Tools

Microsoft Excel (Advanced)
Power BI (Dashboards & Reports)
Matplotlib & Seaborn
Data Storytelling

Soft Skills & Leadership

Team Leadership & Coordination
Project Management
Presentation & Communication
Problem Solving & Critical Thinking

Services

What I Offer

Data Analysis & Insights

Analyze structured and unstructured datasets using Python, Pandas, NumPy, and statistical methods to extract meaningful insights and support decision-making.

Machine Learning Model Development

Build predictive machine learning models using Scikit-learn for regression, classification, and forecasting with proper evaluation and optimization.

Dashboard Development

Develop interactive dashboards using Power BI, Streamlit, and visualization libraries to present insights clearly and effectively.

Data Cleaning & Preprocessing

Clean, transform, and prepare datasets by handling missing values, outliers, and inconsistencies to ensure accurate analysis.

Business Analytics Solutions

Identify KPIs, analyze performance metrics, and provide data-driven recommendations for business improvement.

End-to-End Data Science Projects

Develop complete data science solutions including data collection, preprocessing, modeling, evaluation, and visualization.

Portfolio Stats

Professional Highlights

0

Projects

0

Certifications

0

Experiences

Projects

Featured Work

Job Market Skill Demand Analyzer

End-to-end data science project analyzing job market skill demand using real-time job data via API. Performs NLP-based skill extraction, trend analysis, forecasting using machine learning, and visualization dashboard using Streamlit.

Role: Full Stack Developer & Data Scientist

View Project

Delivery Delay Prediction System

Machine learning classification system that predicts delivery delays using logistics and operational features. Includes data preprocessing, feature engineering, model training, and evaluation.

Role: ML Developer

View Project

Sales Prediction Trend Analysis

Machine learning-based sales forecasting system using historical sales data. Implements regression models, trend analysis, and predictive modeling to forecast future sales performance.

Role: ML Engineer & Data Analyst

View Project

Study Buddy – ML-Based Learning Assistant

Machine learning-powered educational assistant that generates summaries, quizzes, flashcards, and concept explanations using intelligent content processing.

Role: Developer & Designer

View Project

Born 2 Ride – Travel Planner & Fuel Cost Estimator

ML-powered travel planning system that estimates fuel cost using vehicle mileage, distance, and fuel price. Provides hotel, lodge, and street-food recommendations using location intelligence. Built with Python and analytics logic.

Role: Concept creation, logic design, business model planning

View Project

Trichy Restaurant Data Analytics

Analyzed 6000+ real survey responses using Python, Pandas, and Power BI. Performed data cleaning, KPI extraction, and dashboard development to identify restaurant trends and customer behavior.

Role: Data Analysis & Dashboard Design

View Project

Movie Ratings Analysis

Analyzed 550,000+ movie rating records. Performed correlation analysis, trend detection, and statistical insights. Led dataset preprocessing and analytics workflow.

Role: Team Lead - Launchspring Internship

View Project

Segmentation of AI – Research Project

Research project focused on segmentation of Artificial Intelligence domains, architecture patterns, and real-world implementation frameworks. Includes research documentation and technical analysis.

Role: Lead Author

View Research

Experience

Professional Journey

AI/ML Intern – Edunet Foundation (Associated with IBM)

2025

  • Completed AI and Machine Learning internship under IBM-supported Edunet Foundation
  • Worked on real-world ML projects including prediction and analytics systems
  • Gained hands-on experience with Python, Scikit-learn, Pandas, and ML workflows
  • Implemented data preprocessing, feature engineering, model training, and evaluation
  • Developed analytical thinking and applied AI concepts to practical use cases

Data Analytics Intern (Team Lead) – Launchspring

September 2025

  • Led a 6-member team in executing data analytics tasks and coordinating project activities.
  • Managed task allocation, progress tracking, and workflow organization.
  • Performed dataset preparation, cleaning, and preprocessing for analysis.
  • Guided the analytics workflow to ensure structured data analysis and insight generation.

Data Analytics OJT – VDart

July 2025 – September 2025

  • Worked on project-based data analytics tasks involving real-world datasets.
  • Applied structured data workflows including data collection, cleaning, and preparation.
  • Assisted in analyzing datasets to support business analytics and reporting.
  • Gained practical exposure to data analysis processes and insight generation.

Vice President – Journal Club (AI & DS)

September 2025 – Present

  • Led academic initiatives promoting knowledge sharing in Artificial Intelligence and Data Science.
  • Coordinated technical events, workshops, and knowledge sessions for club members.
  • Managed volunteer activities and team coordination for smooth event execution.
  • Oversaw documentation, reporting, and organizational records for club activities.

Certifications

Professional Development

Data Science
Machine Learning with Python
IBM
Data Analysis with Python
IBM
Data Fundamentals
IBM
Getting Started with Data
IBM
Data Science Essentials with Python
Cisco
Data Science
HP LIFE
Data Analytics & Visualization
Meta Data Analyst Professional Certificate
Meta
Tata Data Analytics Job Simulation
Tata
Foundation of Data
Google
Data Analytics
Grow AI
Power BI with AI
Udemy
Excel Essentials Workbook
Acacia University
Data Platforms & Cloud
SnowPro Associate
Snowflake
AWS Academy Machine Learning Foundations
Amazon Web Services
Business & Leadership
Business Analyst
Agile Enterprise, London
Executive Diploma in Leadership & Management
MTF Institute
Presentation Skills
TCS

Events & Achievements

Leadership & Recognition

Events Conducted

AI Conclave 2026

2026

Co-organized AI Conclave 2026 featuring 5 guest speakers from leading institutions including IIIT. The event included technical talks, panel discussions, and student interaction sessions focused on emerging AI technologies, research trends, and real-world applications.

Promptify – AI Image Prompt Engineering Event

2026

Organized and conducted an event focused on image prompt engineering using generative AI tools. Guided students in prompt design and AI creativity.

AI Summit – Research Paper Presentation

2026

Conducted intra-college AI summit featuring research paper presentations, technical discussions, and knowledge sharing among students.

uMagineDX & ICT Academy – Panel Discussion

2026

Led coordination for industry panel discussion bringing together AI/DS experts and students.

AI Expert Exchange – Group Discussion

2025

Organized interactive sessions focused on current AI trends and industry perspectives.

Startup Spark – Innovation Event

2025

Coordinated event showcasing student startups and entrepreneurial ventures in AI/DS domain.

BIYOnd – Data Analytics Event

2025

Managed comprehensive data analytics event featuring workshops and competitions.

Neura Fest – Project Expo

2025

Supervised large-scale project exhibition showcasing innovative AI and data science projects.

Achievements

2nd Place – Tablitics Data Analytics Competition

2025

Secured 2nd prize in Power BI data analytics competition. Developed interactive dashboards and extracted actionable insights using real-world dataset.

3rd Place – Coding Battle

QUBEIT'24, KRCE Trichy

Secured third position in competitive coding competition demonstrating strong problem-solving skills.

Hackathon Participant – BioCircuitronics

2024–2025

Developed innovative solutions at the intersection of biology and technology.

Hackathon Participant – BioEngine

2024–2025

Contributed to bio-engineering challenge focusing on sustainable health-tech solutions.

Contact Me

Let's Connect

Feel free to reach out for collaborations or opportunities!

Open to entry-level roles in Data Science, Data Analytics, and Business Analytics.