VISHNUKANTH KOKKIRIPATI

Data Science

https://www.opentalent.in/vishnukanth-kokkiripati

Data Science with less than a year in Python, SQL, and Machine Learning

Key Strengths

Strong foundational skills in SQL for data manipulation and analysis.
Proficiency in data visualization tools like Power BI and Tableau for dashboard creation and insights.
Experience with Python for data analysis and machine learning, specifically K-Means clustering.
Demonstrated ability to apply data analytics techniques to real-world business problems (e.g., sales forecasting, customer segmentation).
Multiple certifications in data analytics, SQL, Python, and Power BI indicate a strong commitment to learning and skill development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects and certifications show a strong interest and foundational knowledge in the Data Science domain, aligning well with the target role. The diversity of tools and techniques (SQL, Power BI, Python, ML algorithms) indicates a broad learning approach. The academic nature of all projects suggests a learning-oriented individual, which can be a good cultural fit for organizations that value continuous development. However, the lack of professional experience means their adaptability and performance under real-world business pressures are unknown.

Soft Skills & Operational Fit

The candidate's resume highlights analytical thinking, problem-solving, and teamwork as soft skills. The academic projects demonstrate an ability to work through structured data analysis tasks. The internship experience mentions collaboration and being recognized as sincere and hardworking, suggesting a positive operational fit within a team environment. However, without direct work experience, the application of these soft skills in a professional, fast-paced setting is yet to be fully validated.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Motivated and detail-oriented B.Tech graduate in Electronics and Communication Engineering with strong skills in Python, SQL, Power BI, Tableau, and R. Hands-on experience in data analytics, machine learning, data visualization, and predictive modeling through internship and academic projects. Strong analytical thinking and problem-solving abilities, eager to contribute to data-driven decision-making in a dynamic organization.

Top Skills

PythonSQLPower BIData VisualizationMachine Learning

Education

Jawaharlal Nehru Technological University, Kakinada

Bachelor of Technology · Electronics and Communication Engineering

February 1, 2021 – May 1, 2024

Sir C R Reddy Polytechnic

Diploma · Electronics and Communication Engineering

April 1, 2016 – February 1, 2021

Z.P. High School (SSC)

SSC

N/A – May 31, 2016

Projects

Sales & Product Data Analysis using SQL

June 1, 2024 – June 1, 2026

Designed and analyzed relational database tables: Sales (transactional data) and Products (reference data). Queried fields such as quantity sold, sale date, total price, product name, category, and unit price. Performed JOIN operations to link sales transactions with product details. Used GROUP BY, HAVING, and aggregate functions (SUM, COUNT, AVG) to calculate total revenue and product-wise performance. Analyzed monthly sales trends and category-wise revenue insights. Generated business insights to support pricing and sales strategy decisions.

Sales Dashboard & Forecasting using Power BI

June 1, 2024 – June 1, 2026

Designed an interactive Sales Dashboard using Microsoft Power BI. Cleaned and transformed raw sales data using Power Query. Created KPIs including Total Sales, Profit, Quantity, and Growth %. Built visualizations such as bar charts, line charts, pie charts, and slicers. Implemented sales forecasting using time-series analysis. Generated insights to support business decision-making.

Customer Segmentation using K-Means Clustering

June 1, 2024 – June 1, 2026

Developed a customer segmentation model using Python. Implemented the K-Means clustering algorithm to group customers based on spending behavior. Performed data preprocessing and feature scaling for improved model accuracy. Used pandas, NumPy, scikit-learn, matplotlib, and seaborn for data analysis and visualization. Visualized cluster insights to support targeted marketing strategies.

Certifications

Data Analytics

AWS Academy

June 1, 2026 – Present

TATA GenAI Powered Data Analytics

Forage

June 1, 2026 – Present

MySQL

Great Learning

June 1, 2026 – Present

Data Visualisation With Power BI

Great Learning

June 1, 2026 – Present

Python for Data Analysis

Great Learning

June 1, 2026 – Present

Foundations of Data Visualisation using Tableau

Great Learning

June 1, 2026 – Present

TATA Data Visualisation: Empowering Business with Effective Insights | Virtual Experience

Forage

June 1, 2026 – Present

Introduction to Strategy Consulting BCG

Forage

June 1, 2026 – Present

Data Analytics Essentials

Cisco Networking Academy

June 1, 2024 – Present

Key Strengths

Strong foundational skills in SQL for data manipulation and analysis.
Proficiency in data visualization tools like Power BI and Tableau for dashboard creation and insights.
Experience with Python for data analysis and machine learning, specifically K-Means clustering.
Demonstrated ability to apply data analytics techniques to real-world business problems (e.g., sales forecasting, customer segmentation).
Multiple certifications in data analytics, SQL, Python, and Power BI indicate a strong commitment to learning and skill development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit