Sharmila V

Data Analyst | Machine Learning Enthusiast
Not specified, IN.

About

Highly analytical and results-driven Data Analyst with a strong foundation in Python (pandas, NumPy), SQL, and data visualization. Adept at extracting actionable insights from large datasets, performing statistical analysis, and implementing Machine Learning models. Proven ability to leverage predictive modeling and data-driven decision-making to solve complex business challenges and optimize operations.

Education

Great Lakes Institute of Management
Not specified, Not specified, India

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Post Graduate Diploma

Data Science Engineering

SRM University
Not specified, Not specified, India

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Bachelor of Commerce

Corporate Secretaryship

Grade: 7.1 CGPA

Muruga Dhanushkodi Girls Higher Secondary School
Not specified, Not specified, India

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High School

HSC

Grade: 74.7%

Muruga Dhanushkodi Girls Higher Secondary School
Not specified, Not specified, India

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High School

SSLC

Grade: 63%

Certificates

Data Science & Machine Learning Certification

Issued By

Great Lakes Institute of Management

SQL for Data Science

Issued By

Coursera

Tableau for Data Analysis

Issued By

Udemy

Hackathon Certifications

Issued By

Various

Skills

Data Analysis

SQL, Python, Pandas, NumPy, Data Visualization, Statistical Analysis, Exploratory Data Analysis (EDA).

Machine Learning

Regression, Classification, Predictive Modeling, Data Cleaning, Feature Engineering, Scikit-learn.

Dashboarding & Reporting

Excel, Tableau.

Tools & Technologies

Python, SQL, Tableau, Matplotlib, Seaborn.

Soft Skills

Problem-Solving, Team Collaboration, Adaptability, Critical Thinking.

Interests

Leadership & Community Engagement

Hospitality Head, Academic Leadership, Guide Camp Participation.

Projects

Capstone Project: Retail Analytics

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Summary

Led a team project at Great Lakes Institute of Management to optimize customer segmentation and predict customer ratings for a retail client, leveraging advanced analytical techniques.

House Price Prediction (Kaggle Competition)

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Summary

Developed and optimized a predictive model for house prices using the Ames Housing dataset in a Kaggle competition, demonstrating strong analytical and machine learning capabilities.

Capstone Project: Supply Chain Analytics

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Summary

Designed and implemented a Machine Learning model for Dataco Global to analyze historical shipping data, improving supply chain efficiency and customer satisfaction.