VIVEK SASANE

Data Analyst

https://www.opentalent.in/vivek-sasane

Data Analyst with less than a year in Python, SQL & Power BI.

Key Strengths

Demonstrated experience in data cleaning, analysis, and visualization using Python, SQL, and Power BI.
Proficiency in applying machine learning models for prediction and classification tasks (Linear Regression, Decision Trees, Naive Bayes, Logistic Regression).
Experience with NLP techniques for text preprocessing and spam detection.
Ability to develop interactive dashboards and extract actionable insights from data, as shown in Power BI projects.
Strong foundation in core data science concepts including EDA, data preprocessing, and basic statistics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a breadth of skills relevant to a Data Analyst role, covering SQL, Python, Machine Learning, and Power BI. The projects are diverse, ranging from sales analysis to healthcare and road safety, indicating an ability to apply data analysis across different domains. This aligns well with a role that requires versatility and a problem-solving mindset. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.

Soft Skills & Operational Fit

The candidate's project descriptions indicate an ability to work on problem-solving through analytics and support data-driven decision-making. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, Machine Learning and AI skilled in data cleaning, analysis, visualization and model building. Experienced in working on real-world datasets to extract insights, identify trends, and support data-driven decision-making. Strong foundation in statistics and data manipulation with a focus on solving business problems through analytics.

Top Skills

PythonSQLPower BIMachine Learning

Education

Dr. D.Y. Patil Arts, Commerce and Science College

Bachelor of Computer Applications (BCA)

N/A – Present

Seven Mentor Institute

Data Science Course

N/A – Present

Projects

Restaurant Sales Analysis

June 18, 2026 – Present

Designed and implemented SQL queries to analyze sales and customer trends. Used JOINS, GROUP BY, and aggregations to extract meaningful insights. Identified top-selling items and revenue patterns. Helped simulate data-driven decision-making for business growth.

Student Performance Prediction

June 18, 2026 – Present

Developed a machine learning model to predict students' math scores based on study habits. Performed data cleaning, feature engineering, and exploratory data analysis (EDA). Applied regression models such as Linear Regression and Decision Trees. Evaluated model performance using R² score and Mean Squared Error.

Spam Detection System

June 18, 2026 – Present

Built a spam detection model using NLP techniques to classify messages as spam or ham. Preprocessed text data using tokenization, stopword removal, and Count vectorizer. Trained models like Naive Bayes and Logistic Regression for classification. Achieved high accuracy and evaluated performance using confusion matrix and F1-score.

Hospital Emergency Room Analysis

June 18, 2026 – Present

Developed dashboard to analyze patient inflow, waiting time, and treatment efficiency. Monitored key performance metrics to evaluate hospital operations. Identified bottlenecks in patient handling and suggested improvements.

Road Accident Analysis

June 18, 2026 – Present

Analyzed large datasets of road accidents to identify patterns and high-risk factors. Built interactive Power BI dashboards to visualize accident trends by time, location, & cause. Identified peak accident hours and major contributing factors. Provided actionable insights to improve road safety and reduce accident frequency.

Expense Tracker

June 18, 2026 – Present

Developed a Python-based application to track and categorize daily expenses. Implemented data analysis to identify spending patterns. Enabled users to manage budgets effectively through insights. Used data visualization to present expense summaries.

Key Strengths

Demonstrated experience in data cleaning, analysis, and visualization using Python, SQL, and Power BI.
Proficiency in applying machine learning models for prediction and classification tasks (Linear Regression, Decision Trees, Naive Bayes, Logistic Regression).
Experience with NLP techniques for text preprocessing and spam detection.
Ability to develop interactive dashboards and extract actionable insights from data, as shown in Power BI projects.
Strong foundation in core data science concepts including EDA, data preprocessing, and basic statistics.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit