MALLA REDDY INSTITUTE OF TECHNOLOGY AND SCIENCE, JNTUH

Profile URL

https://talent.gravityer.com/pallavi-dasari

PALLAVI DASARI

Data Science with 2+ years in Python, Data Analytics, and Web Development.

MALLA REDDY INSTITUTE OF TECHNOLOGY AND SCIENCE, JNTUH

Hyderābād, Telangana, India

Since April 27, 2026

About

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.

Top Skills

MysqlLeadershipCollaborationNlp

Skills

JavaPythonMysqlJavaScriptCloud ComputingData VisualizationNlpStatisticsBig DataData EngineeringData PipelinesEtlLeadershipCollaborationCommunicationProblem SolvingPandasSpacyTableauPower BIKerasReact.jsNode.JsExpress.JsScikit LearnMarket ResearchSmart ContractsGithubConfluenceSplunkFigmaData Preprocessing

Education

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

Experience

BRITESH AIRWAYS COMPANY

Data Science | Virtual internship

September 1, 2022 – March 1, 2023

Hyderābād, Telangana, India

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

LASYA INOTECH PVT. LIMITED SOLUTIONS STARTUP COMPANY

Machine Learning Intern

February 1, 2022 – August 1, 2022

Hyderābād, Telangana, India

Projects

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.

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.

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.

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.

Certifications

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

Key Strengths

Demonstrated exposure to various Machine Learning algorithms including SVM, Random Forest, GMM, K-Means, and APRIORI through academic projects and internships.
Experience with Natural Language Processing techniques (VADER, keyword analysis) for sentiment analysis and account verification.
Proficiency in data visualization tools and libraries such as Tableau, Power BI, Seaborn, Matplotlib, Chart.js, and Plotly.
Involvement in projects related to real-time data processing, data pipeline development, and web application development, indicating a broad technical interest.
Certifications in Generative AI and Data Analytics Essentials show initiative in continuous learning relevant to the Data Science domain.
The candidate's project portfolio and internship experiences are directly aligned with the target role of Data Science, covering areas like predictive modeling, data analysis, and visualization.

Cultural & Operational Fit

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

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