KMK

Kayathiri Murugan Konar

Data Science

https://www.opentalent.in/kayathiri-murugan-konar

Data Science with less than a year in data analysis, visualization, and machine learning.

Key Strengths

Strong foundational knowledge in data analysis, visualization, and machine learning concepts.
Demonstrated ability to apply Python, SQL, Excel, and Power BI in academic projects.
Experience with various machine learning models including Regression, Classification, and Association Rule Mining.
Proficiency in data preprocessing, EDA, and feature selection using Pandas and NumPy.
Good understanding of business intelligence reporting and dashboard development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects cover a good range of data science applications, from face recognition to sales analysis and health prediction, indicating a broad interest in the field. The certifications from BSE Institute Limited and Great Learning show a proactive approach to learning and skill development. The target role of 'Data Science' aligns well with the candidate's stated skills and project experience. However, the lack of professional experience means cultural fit in a corporate setting is largely unproven.

Soft Skills & Operational Fit

The candidate's resume highlights an analytical and detail-oriented approach, with a passion for transforming data into actionable insights. The academic projects demonstrate problem-solving skills and an ability to work with diverse datasets. However, without specific psychometric or English test results, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration beyond what is inferred from project descriptions.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Analytical and detail-oriented professional skilled in Python, SQL, Excel, Power BI, and Tableau with hands-on experience in data analysis, visualization, and machine learning projects. Strong foundation in exploratory data analysis (EDA), statistical analysis, dashboard development, and business intelligence reporting. Passionate about transforming data into actionable insights and solving business problems through data-driven decision-making.

Top Skills

PythonSQLPower BITableauMachine Learning

Education

RCT's P.M.M. Rotary Junior College, Ambernath (East)

HSC

N/A – May 31, 2023

G.R. Patil Vidyamandir, Ambernath (East)

SSC

N/A – May 31, 2021

S.I.C.E.S. Degree College Ambernath (West)

B.Sc. IT · Information Technology

N/A – May 1, 2026

Projects

SmartFace Recognition Attendance System

June 20, 2026 – Present

Built an automated attendance system using Python, OpenCV, and face recognition techniques with real-time face detection and attendance recording.

Madhav E-Commerce Dashboard

June 20, 2026 – Present

Developed an interactive Power BI dashboard to analyze sales, profit, and customer KPIs. Created dynamic visualizations and KPI cards for business reporting and trend analysis.

Vrinda Store Sales Analysis

June 20, 2026 – Present

Analyzed 10,000+ sales records using Excel, Pivot Tables, Charts, and data cleaning techniques. Built an interactive dashboard to track revenue, customer trends, and inventory performance.

Amazon Customer Orders Analysis

June 20, 2026 – Present

Queried relational databases using SQL Joins, Aggregations, and Subqueries to analyze sales trends. Wrote 20+ SQL queries to extract customer purchasing insights and generate reports.

Customer Satisfaction Prediction

June 20, 2026 – Present

Built a Linear Regression model using Python to predict customer satisfaction trends. Performed EDA, preprocessing, and feature selection using Pandas and NumPy.

Market Basket Analysis

June 20, 2026 – Present

Applied Association Rule Mining and the A-Priori Algorithm to identify purchasing patterns. Generated product recommendation insights and analyzed cross-selling opportunities.

Heart Disease Risk Prediction

June 20, 2026 – Present

Developed a Logistic Regression model to predict heart disease risk with ~85% accuracy. Performed preprocessing, feature engineering, and classification analysis.

Certifications

SQL for Data Science Certification

Great Learning

June 1, 2026 – Present

Functions in Python Certification

Great Learning

June 1, 2026 – Present

Global Data Science Program (GDSP)

BSE Institute Limited

January 1, 2024 – January 1, 2025

Key Strengths

Strong foundational knowledge in data analysis, visualization, and machine learning concepts.
Demonstrated ability to apply Python, SQL, Excel, and Power BI in academic projects.
Experience with various machine learning models including Regression, Classification, and Association Rule Mining.
Proficiency in data preprocessing, EDA, and feature selection using Pandas and NumPy.
Good understanding of business intelligence reporting and dashboard development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit