Portfolio - Yashwanth Vinnakota

About Me

Hi there! I am an aspiring Data Analyst with a master’s degree in Computer Science, specializing in data analysis. My passion lies in turning complex data into clear and actionable insights that help businesses make smarter decisions.

With 3+ years of experience as a Data Analyst, I have developed strong skills in tools like Excel, Power BI, Tableau, Python, and SQL. I excel at analyzing data, creating meaningful visualizations that drive impactful solutions.

Beyond my work experience, I have completed several business projects, which you can explore in my portfolio below. These projects highlight my ability to solve real-world challenges, such as improving customer experiences, optimizing processes for growth.

I thrive on working with data and collaborating with teams to find innovative solutions. If you’re looking for someone who combines technical expertise with a problem-solving mindset, I’d be excited to contribute and help your organization succeed. Let’s connect!

Key Skills

Excel

powerBI

Effective Communication

Stakeholder Management

Analytical Thinking

My Projects

Sales and Finance Report

Domain/Function: Data Analyst

Business Insights 360 Dashboard for Finance, Sales, Marketing and Supply Chain

Domain/Function: Data Analyst

Atliq Grand Hotel - Hospitality Analysis Challenge

Domain/Function: Data Analyst

Financial Analytics, Top Markets, Products and customers

Domain/Function: Data Analyst

My Experience

Data Analyst – Cognizant, Hyderabad
Jan 2021 – May 2023

Streamlined Data Analytics Processes: Conducted end-to-end data analysis using Excel, SQL, and Power BI to support business decision-making, improving operational efficiency by 15%.
Automated Reporting Workflows: Designed and implemented automated dashboards and reporting solutions to track key performance indicators, reducing manual effort by 20%.
Collaborated on Cross-Functional Projects: Partnered with business teams to understand requirements, providing actionable insights and tailored data solutions to meet client objectives.
Enhanced Data Quality: Applied data cleaning and transformation techniques to large datasets, ensuring accuracy and consistency for analysis and reporting.
Improved Business Outcomes: Delivered data-driven recommendations for process optimization and cost reduction, contributing to increased client satisfaction and revenue growth.

Data Analyst Trainee – Cognizant, Hyderabad
Mar 2020 – Jan 2021

Developed Predictive Models: Assisted in building machine learning models using Python and Scikit-learn to analyze customer churn, performing data cleaning, feature selection, and hyperparameter tuning, achieving 85% model accuracy.
Optimized ML Pipelines: Collaborated with senior data scientists to enhance machine learning pipelines, leveraging cross-validation and grid search techniques to boost model performance by 10%.
Performed Exploratory Data Analysis (EDA): Analyzed large retail datasets using Pandas and Matplotlib, identifying trends and actionable patterns to inform data-driven marketing strategies.
Enhanced Feature Engineering: Created custom metrics and derived features to improve customer segmentation models, driving more accurate predictions and insights.
Created Interactive Visualizations: Designed dynamic Tableau dashboards to effectively present data insights and model outcomes, facilitating informed decision-making for stakeholders.