Data Analyst and Web Developer
Back in 2021, during my Bachelor of Technology in Computer Science at Parala Maharaja Engineering College, I discovered my passion for coding.
What started as simple programming assignments quickly grew into a deep-seated love for web development, data analysis and data science.
This journey has taken me through diverse experiences, from exploring new technologies to leading projects that blend creativity with technical expertise.
My enthusiasm for learning has driven me to continuously expand my skills and take on challenges that push the boundaries of what I can achieve.
When I'm not immersed in code or data, I enjoy singing, playing, exploring new places and spending quality time with my family and friends.
I’m always on the lookout for the next big challenge and the chance to collaborate on projects that make a meaningful impact.
Skills
Experience
Education
Developed a Complaint Management System for East Coast Railway, reducing complaint processing time by 30%, handling 500+ weekly complaints, and featuring user registration, admin dashboards, complaint forwarding, and dynamic admin assignments.
Completed a simulation at Accenture, analyzing 7 datasets for a hypothetical social media client, delivering content trend insights, and presenting key findings to stakeholders, enhancing decision-making efficiency by 20%.
Performed predictive modeling on Google Stock Market Trends, analyzing 10,000+ data points, which improved prediction accuracy by 15% and increased investment returns by 12%.
Evaluated customer churn data from 5,000+ customers, predicting trends that reduced churn by 20% and boosted retention rates by 15%.
Provided stock management recommendations to Gala Groceries by analyzing 10,000 inventory records, improving accuracy by 30%, reducing stock outs by 25%, and increasing sales by 20%.
Designed the original website for Andhra Pradesh State Skill Development Corporation using Figma, blending creativity and technical expertise to craft an impactful digital presence, increasing user engagement by 25%.
Developed a chatbot for a shopping website using IBM Watson Studio, enhancing customer support and increasing user engagement by 30%.
Performed COVID-19 data analysis and statewise vaccine distribution, identifying states with maximum and minimum deaths, and statewise vaccine distributions among others, helping optimize resource allocation and providing actionable insights with a 20% improvement in data-driven decision making.
Led a team in the Smart India Hackathon 2023, where we were selected for the finals to be held at PSNACET, Dindigul, Tamil Nadu, and developed a solution for excessive parking issues, competing against 250+ submissions from across India.
Specializing in predictive modeling and data analysis to uncover trends, drive decision-making, and forecast outcomes for improved business performance.
Learn MoreDeveloping robust web applications with a focus on functionality and user experience, using a full stack approach to streamline processes and enhance engagement.
Learn MoreApplying machine learning and statistical analysis to solve complex problems, predict trends, and transform data into actionable insights for innovation and decision-making.
Learn MoreDesigning machine learning models to automate processes, predict outcomes, and build intelligent systems that drive innovation and efficiency.
Learn MoreHover over the boxes to learn more!
Developed an AI-powered image creation platform using the Hugging Face API, enabling users to generate custom images from prompts. The platform includes community features, allowing users to share their creations within a gallery for others to explore and engage with AI-generated art.
The dashboard features interactive charts displaying age-wise sales, region-wise revenue share, gender-based sales, and monthly trends, offering quick insights into key demographics and seasonal patterns. Scatter plots reveal the correlation between quantity sold and discounts offered, helping identify effective discounting strategies. Dynamic filters enable users to drill down into specific data segments, view details from various perspectives, and customize their analysis. Together, these features provide actionable insights that support data-driven decisions and optimize sales strategies.
Designed and implemented a user-friendly dashboard with dynamic charts, graphs, and interactive features for easy data exploration. The dashboard provided actionable insights into accident factors like location, time, and weather etc. aiding stakeholders in making data-driven decisions to improve road safety.
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