Data Science with 2+ years in Python, Data Analytics, and Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven professional with 2.5 years of experience in Data Science, Machine Learning, and Web Development. Skilled in Python, data analysis, visualization, and building robust applications. Proven ability to deliver actionable insights, optimize processes, and enhance user experience through strong technical and problem-solving abilities. Committed to strengthening platform integrity and boosting customer satisfaction through data-driven solutions.
MALLA REDDY INSTITUTE OF TECHNOLOGY AND SCIENCE, JNTUH
Bachelor of Technology · Computer Science Engineering
July 1, 2018 – August 1, 2022
TOPPERS JUNIOR COLLEGE
Board of Intermediate · Secondary Education
June 1, 2016 – May 1, 2018
DATACOM COMPANY
Software development | Virtual Internship
September 1, 2022 – April 1, 2023
Hyderābād, Telangana, India
TATA COMPANY
Data Analyst Intern | Virtual Internship
September 1, 2022 – March 1, 2023
Hyderābād, Telangana, India
BRITESH AIRWAYS COMPANY
Data Science | Virtual internship
September 1, 2022 – March 1, 2023
Hyderābād, Telangana, India
LASYA INOTECH PVT. LIMITED SOLUTIONS STARTUP COMPANY
Machine Learning Intern
February 1, 2022 – August 1, 2022
Hyderābād, Telangana, India
NETFLIX LANDING PAGE DEVELOPMENT
June 1, 2024 – August 1, 2024
Developed a responsive landing page using HTML5, CSS3, and JavaScript, boosting conversion rates by 15% and user engagement by 20% with enhanced visuals, interactive hover effects, and cross-device compatibility.
WEB-BASED DIVERGING BAR CHART APPLICATION
March 1, 2024 – May 1, 2024
Built interactive visualizations with Chart.js, JavaScript, HTML, and CSS, improving data clarity by 30% and user engagement by 40% with responsive, mobile-compatible designs and interactive features like custom tooltips.
REAL-TIME CHAT APPLICATION
December 1, 2023 – June 1, 2024
Developed a real-time messaging app with React, Node.js, Web Sockets, and MongoDB, achieving 99.9% uptime, 30% reduced message latency, and a 40% boost in user interaction efficiency through private rooms and message history features.
EXPLORATORY DATA ANALYSIS OF THE TITANIC DATASET: IDENTIFYING FACTORS INFLUENCING SURVIVAL RATES
November 1, 2023 – May 1, 2024
Performed EDA on the Titanic dataset using Python, achieving 85% data accuracy and improving stakeholder understanding by 40% through visualizing survival trends with Seaborn and Matplotlib.
ANALYSIS SYNTHETIC E-COMMERCE DATA USING MACHINE LEARNING
November 1, 2023 – January 1, 2024
Applied K-Means and APRIORI to e-commerce data, achieving 92% accuracy in customer segmentation; generated high-quality synthetic datasets and designed 3D visualizations with 90% precision using PCA and PLOTLY for strategic insights.
SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA
November 1, 2023 – May 1, 2024
Analyzed 1,200+ Twitter posts on British Airways with 90% sentiment classification accuracy using VADER, enhancing marketing strategies by 25% through sentiment trend visualization.
SOCIAL ANALYSIS INFLUENCER USING MACHINE LEARNING TECHNIQUES
August 1, 2023 – October 1, 2023
Engineered predictive models to analyze social media trends, boosting accuracy and identifying key influencers; developed Python and Tableau dashboards, leveraging K-Means and APRIORI for customer segmentation and e-commerce insights.
WEB-BASED DIVERGING BAR CHART APPLICATION
June 1, 2023 – November 1, 2023
Designed interactive visualizations using Chart.js, JavaScript, HTML, and CSS, boosting data clarity by 30% and user engagement by 40% with responsive, cross-browser-compatible designs.
CYBER CRIME DETECTION USING MACHINE LEARNING TECHNIQUES
August 1, 2021 – January 1, 2022
Built a cybercrime detection system using GMM and K-Means, achieving 76.56% accuracy, increasing detection accuracy by 20%, and enhancing threat analysis by reducing system vulnerabilities.
REAL-TIME WHETHER MONITORING SYSTEM
April 1, 2017 – October 1, 2023
Built an automated data pipeline to process and store real-time weather data with 95% efficiency, optimizing storage and reducing data retrieval time by 30% for analytics.
The Complete Project Management Fundamentals Course + CERT
Unknown
April 1, 2026 – Present
Generative AI
INEURON
May 1, 2024 – Present
Data Analytics Essentials
CISCO Networking Academy
March 1, 2024 – Present
Frontend/Backend Developer, Spring Boot & Frameworks
J' Spiders Institute
October 1, 2022 – Present
Cultural Fit Analysis
The psychometric test score of 0 out of 500 is a severe red flag for cultural fit. This assessment specifically evaluates logical reasoning, work attitude, stress handling, and team collaboration, all of which are fundamental for successful integration into a professional environment. Based on this data, the candidate demonstrates a critical lack of alignment with typical cultural and operational expectations.
Soft Skills & Operational Fit
The psychometric test score of 0 out of 500 indicates significant concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. While project descriptions mention leading a team and collaboration, these self-reported aspects are directly contradicted by the assessment results, suggesting a critical gap in operational fit and soft skills.