05/29/2025 updated

TT
100 % available

Data Scientist with Machine Learning Expertise

Pune, India
Only remote
Master's degree in Data Science and Big Data Analytics
Pune, India
Only remote
Master's degree in Data Science and Big Data Analytics

Profile attachments

TanishaTijare_Resume.pdf

A/B TestingAmazon Web ServicesAmazon S3Data AnalysisAutomationBig DataGoogle BigQueryCloud ComputingWeb ScrapingData VisualizationForecastingR (Programming Language)Statistical Hypothesis TestingPython (Programming Language)Logistic RegressionMATLABMachine LearningRegression AnalysisMicrosoft Power BISeleniumSoftware EngineeringSQL DatabasesStatisticsData StreamingSalesforce TableauData ProcessingGoogle CloudFeature EngineeringSnowflakeRandom ForestBackendFront End Software DevelopmentDecision TreesProgramming Languages
Machine Learning
Implementation of various machine learning algorithms including Random Forest, Decision Tree, and Logistic Regression for classification and prediction tasks with experience in model evaluation and optimization.

Programming Languages
Proficiency in Python, R, SQL, and MATLAB for data analysis, statistical modeling, and application development with both frontend and backend experience.

Data Visualization
Creation of interactive dashboards and reports using Power BI and Tableau to analyze trends, visualize data, and support data-driven decision-making.

Web Scraping
Development of automated web scraping solutions using Python libraries like BeautifulSoup, requests, and Selenium to extract structured data from websites.

Data Processing
Experience in comprehensive data pre-processing, cleaning, transformation, and feature engineering to prepare datasets for analysis and modeling.

Cloud & Big Data
Knowledge of AWS (S3), Google Cloud Platform (BigQuery, DataFlow), and Snowflake for handling and processing large datasets.

Statistical Analysis
Application of statistical modeling techniques including regression analysis, hypothesis testing, and A/B testing to derive insights from data.
 

Experience

Professional experience0 - 5 years
Freelancer since2025

Languages

EnglishNative speaker

Project history

Master's Student

MIT World Peace University
Pursuing Master's degree in Data Science and Big Data Analytics

Bio-Signal Analysis for Smoking Detection Using Machine Learning

Project
Developed a machine learning classification system to detect smoking habits from bio-signal data, achieving 78% accuracy. Performed data pre-processing and feature selection on a 55K-record dataset with 27 attributes. Implemented multiple models including Logistic Regression and ensemble methods.

Credit Card Fraud Detection using Machine Learning

Project
Developed a machine learning system to identify fraudulent credit card transactions, implementing Decision Tree and Random Forest algorithms. Performed comprehensive data pre-processing, visualization, and feature scaling on transaction data.

Restaurant Revenue Prediction Using Machine Learning

Project
Developed a predictive model to forecast restaurant revenue based on key attributes. Performed data pre-processing and exploratory analysis on a dataset with 100 observations and 8 features. Implemented multiple regression models optimizing performance through hyper parameter tuning.

Web Scraping for Data Extraction and Analysis

Project
Developed automated web scraping solutions using Python to extract structured data from multiple websites. Implemented comprehensive data collection workflows and transformation processes to convert raw web data into analysis-ready formats.

University Admission Analysis

Project
Developed comprehensive Power BI dashboards analyzing state university admission trends through advanced data transformations and visualizations. Created interactive reports including geo dashboards, tabular reports, and demographic breakdowns.

Flight Booking Price Prediction Using Machine Learning

Project
Developed a machine learning model to predict flight ticket prices using a dataset of 300K records with 11 attributes. Performed comprehensive data pre-processing and feature selection using Variance Inflation Factor. Implemented multiple regression models achieving best performance with Random Forest Regressor.

AI developer Intern

Infigos Solutions Ltd
Worked on frontend and backend for a streamlit application. Created model building module for fraud detection. Implemented validation strategies, hyper tuning parameters, and different classification models.

Bachelor's Student

MIT World Peace University
Completed Bachelor's degree in Computational Mathematics and Statistics

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