MSK

Mohammed Sherin kousar

Data Analyst

https://www.opentalent.in/mohammed-sherin-kousar

Data Analyst with less than a year in Data Analytics, Business Intelligence, and Machine Learning.

Key Strengths

Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn) for data analysis and EDA.
Strong SQL skills including Joins, Subqueries, and Aggregations.
Experienced in data visualization tools like Power BI (DAX, Data Modeling, Dashboards) and Tableau.
Capable of developing interactive dashboards and generating business insights.
Familiar with various machine learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means Clustering) and model evaluation metrics.
Demonstrated ability to clean and transform raw data, handle missing values, and perform exploratory data analysis.
Academic projects showcase practical application of data analysis techniques to real-world scenarios (e.g., Amazon Sales, HR Analytics).
Good understanding of Excel for data manipulation (Pivot Tables, VLOOKUP/XLOOKUP, Conditional Formatting).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (e-commerce, HR, banking). The pursuit of an MBA in Finance alongside a Bachelor's in Computer Science indicates a desire to bridge technical skills with business understanding, which aligns well with roles requiring both analytical rigor and strategic insight. The breadth of tools and techniques learned (Python, SQL, Power BI, Tableau, various ML algorithms) suggests adaptability and a continuous learning mindset. The candidate's profile indicates a desire to apply analytical skills in a growth-oriented organization, which is a positive cultural indicator.

Soft Skills & Operational Fit

The candidate's project descriptions indicate strong analytical and problem-solving skills, with a focus on extracting insights and providing actionable recommendations. The academic background in both Computer Science and Finance suggests a multidisciplinary approach, which is beneficial for understanding business contexts in data analysis. The candidate appears to be detail-oriented, as evidenced by data cleaning and transformation tasks in projects. However, without direct work experience, it's difficult to assess operational fit in a team environment or stress handling capabilities.

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Education

Danavantari Institute of Management Science

MBA · Finance

N/A – June 30, 2025

Vivekavardhani Degree College for women

Bachelor's Degree · Computer Science (MPC)

N/A – June 30, 2023

Sri Chaitanya Junior College

Board of Secondary Education

N/A – May 31, 2020

Suryodaya School

SSC

N/A – May 31, 2018

Projects

MBA Project #1 – Online Banking with reference to Kotak Bank

June 1, 2026 – Present

Conducted a detailed study on customer preferences, satisfaction levels, and awareness regarding online banking services. Analyzed financial and technological aspects impacting customer adoption of online services. Proposed strategies to improve digital banking experience and service efficiency.

Amazon Sales Data Analysis

June 1, 2026 – Present

Performed end-to-end data analysis on Amazon order data to identify sales trends, customer behavior, and product performance. Conducted data cleaning, handling of missing values, and exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib, Seaborn). Analyzed KPIs such as Total Sales, Total Orders, Average Order Value, Category-wise Sales, and Order Status Distribution. Created interactive dashboards in Power BI with slicers, filters, and drill-down features for business insights. Generated actionable recommendations to improve sales performance and customer satisfaction.

HR Analytics Dashboard (Power BI)

June 1, 2026 – Present

Developed an interactive dashboard to analyze employee attrition. Created KPIs such as Attrition Rate, Employee Count, and Average Salary. Used DAX formulas and slicers for dynamic filtering.

Sales Data Analysis (Excel & Tableau)

June 1, 2026 – Present

Cleaned and transformed raw sales data. Built visualizations including bar charts, line charts, and pie charts. Identified trends and provided actionable insights.

Python Data Analysis Project

June 1, 2026 – Present

Performed Exploratory Data Analysis (EDA) using Pandas. Handled missing values and cleaned datasets. Visualized trends using Matplotlib.

Certifications

Hindustan Coco-Cola Beverages Pvt.Ltd.

June 1, 2026 – Present

Employability Skill Programme

Unknown

June 1, 2026 – Present

Qualified in all India FIITJEE exam

FIITJEE

June 1, 2026 – Present

Qualified in all India CV Raman talent test in state level

CV Raman

June 1, 2026 – Present

Qualified for TCS NQT with 71.14%

TCS

January 1, 2024 – Present

Key Strengths

Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn) for data analysis and EDA.
Strong SQL skills including Joins, Subqueries, and Aggregations.
Experienced in data visualization tools like Power BI (DAX, Data Modeling, Dashboards) and Tableau.
Capable of developing interactive dashboards and generating business insights.
Familiar with various machine learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means Clustering) and model evaluation metrics.
Demonstrated ability to clean and transform raw data, handle missing values, and perform exploratory data analysis.
Academic projects showcase practical application of data analysis techniques to real-world scenarios (e.g., Amazon Sales, HR Analytics).
Good understanding of Excel for data manipulation (Pivot Tables, VLOOKUP/XLOOKUP, Conditional Formatting).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Mohammed Sherin kousar

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit