Data Science Machine Learning

K. A. Sindhu Muthukumar HackerRank Profile: sindhurani1203

Building 31, Zone 43, Nuaija, Doha, Qatar Geeksforgeeks: sindhurani1203 Mob: +974******** Email: **************@*****.***

LinkedIn: linkedin.com/in/sindhu-muthukumar-b1925a13a Recent graduate with a strong foundation in Data Science, including hands-on experience in machine learning, data analysis, and statistical modeling. Passionate about leveraging data to drive insights and solve real-world problems. Currently gaining valuable experience as a home tutor for Grade 10 Mathematics, where I hone my communication and problem-solving skills while helping students excel academically. Seeking opportunities to contribute to data-driven projects and grow as a professional in the field of data science. Eager to learn, adapt, and make a meaningful impact.

SKILLS

• Object-Oriented Programming C++

• Python, SQL, Tableau, NLP, Generative AI,

• Software Development Lifecycle

• Data Management

• Problem-Solving

• Power BI

• S3 and Red Shift-AWS

• GIT

• Snowflake

• Customer Support

WORK EXPERIENCE

TUTOR, Qatar Self Employed • 09/2020 -

Present

• Supported students of GRADE X in MATHEMATICS with helpful study habits and exam strategies and made students score centum and A+ grades.

• Established positive relationships with both students and parents, fostering open communication regarding academic progress and goals.

• Collaborated with students to complete homework assignments, identify lagging skills, and correct weaknesses.

• Motivated students towards learning and studying to build self-confidence and reduce fear of failure. RESOURCE ROOM PERSON• Nagercoil, India Gyana Vidya Mandir • 12/2019 - 07/2020

• Assisted with file organization, ensuring documents were properly categorized and easily accessible for team members.

• Collaborated with team members to complete large scale works in a timely manner.

• Provided valuable insights on potential areas of improvement within existing workflows, resulting in increased productivity rates across teams.

• Enhanced data accuracy by meticulously entering information into databases and spreadsheets.

• Supported other departments as needed, demonstrating adaptability and versatility in handling varied assignments.

EDUCATION

• Data Science Specialization (Jan-April 2025)

Greens Technology, Chennai

• Topics Covered: SQL, Python, Data Visualization (Power BI, Tableau), Machine Learning, Statistical Analysis, NLP

• Cloud features: S3 & Red Shift – AWS, GIT, Snowflake

• Current Project: Generative AI Project

• Post Graduate Diploma in Teaching and Education High School Teaching September 2024-December 2024,

Asian College of Teachers, Post Graduate Diploma in Education and Teaching

• Chartered Engineer Computer Science and Technology 10/2019 The Institution of Engineers, Kolkata, India

• Associate Member Computer Engineering Technology, India 05/2019 The Institution of Engineers, Kolkata, India

• Bachelor of Technology Computer Science and Engineering 03/2019 The Institution of Engineers, Kolkata, India

• Graduation with Distinction, (Section B)

• 8.33 GPA and 7.76 CGPA

• Ranked FIRST in Section B all over India

• Recipient of Institution Prize, Section B

• High Secondary School 05/2010

DVD Higher Secondary School, Nagercoil, India

• BRAHMOS AEROSPACE AWARD GRADE XII

• Final Grade: 95% SCORING 1134/1200

• Ranked FIRST in School

• Secondary School

Adarsh Vidya Kendra, Nagercoil, India

• Scored 431/500

CERTIFICATIONS

• Data Science with Machine learning, FROM GREENS TECHNOLOGY, CHENNAI 02/2025 - 05/2025

• Certificate of completing a course in Security Risks in AI and Machine Learning from LinkedIn.

• Certificate of completion of SQL for Data Analysis role from LinkedIn.

• Certified Business Intelligence using Power BI, from Skill Nation PROJECTS COMPLETED

• Supermarket Sales Analytics Dashboard

Tools Used: Python, SQL, Plotly, Preswald

Developed an interactive sales analytics dashboard to visualize and explore supermarket transaction data using Python and Plotly within the Preswald app framework.

Implemented SQL-based data extraction and dynamic filtering to identify high-quantity purchases and generate actionable insights with 92% accuracy in detecting high-sales patterns.

Created multiple visualizations including scatter plots and bar charts to highlight trends in sales quantity, total revenue, and product line performance.

• Music Sales Analysis – Chinook Database

Tools Used: SQL, MySQL, Power BI (optional), Data Analysis

Analyzed the Chinook music store database to extract insights on customer behavior, track popularity, and revenue by genre.

Created SQL-driven reports highlighting best-selling artists, top genres, and customer demographics.

Achieved 89% accuracy in identifying high-revenue customers and top-performing music categories using historical sales data.

• Student Performance Prediction using Machine Learning Tools Used: Python, Pandas, Seaborn, Matplotlib, Scikit-learn Objective: Analyzed a student performance dataset to predict whether a student will pass or fail based on various features such as study time, number of failures, and absences.

Data Cleaning: Performed data cleaning by handling missing values and removing duplicates to prepare the dataset for analysis.

Exploratory Data Analysis (EDA): Utilized visualizations (Seaborn, Matplotlib) to understand the distribution of features and relationships between variables. Generated a correlation heatmap and pairplots to identify key patterns.

Modeling: Applied Logistic Regression and Random Forest classifiers to predict student performance. Evaluated model accuracy (85%), F1-score, and confusion matrix to assess classification effectiveness.

Outcome: Successfully built and evaluated a classification model to predict student outcomes, achieving an accuracy of 85%, with a focus on ensuring model accuracy and interpretability.

• Airbnb Listings Analysis and Dashboard Development Tools Used: Tableau, Data Analysis

Objective: Analyzed the Airbnb listings dataset for NYC and created an interactive Tableau dashboard to visualize key insights such as listings count by neighborhood, price distribution per room type, and availability trends.

Tasks:

o Cleaned and prepared the dataset for visualization. o Built visualizations including bar charts, box plots, and line charts to display important metrics. o Added filters for room type and neighborhood to allow users to interact with the data. o Published the dashboard to Tableau Public, providing real-time access and interactivity for end- users.

Outcome: Successfully created an insightful and interactive dashboard, enabling users to explore Airbnb listing trends by neighborhood, price, and availability, with easy-to-use filters. Published the dashboard on Tableau Public, offering valuable insights to stakeholders.

• Light Fidelity Management, EINSTEIN ENGINEERING COLLEGE, NAGERCOIL

Developed a high-speed data transmission system using LED-based visible light communication, achieving speeds of 10 Gbps in controlled environments.

Designed system architecture and conducted performance testing, improving data transmission efficiency by 30% compared to traditional wireless networks.

Conducted 50+ test iterations to measure throughput, signal integrity, and environmental adaptability.

• Reversible Data Hiding, KNSK COLLEGE OF ENGINEERING, ERODE

Implemented an image-based data-hiding technique ensuring 99.5% accuracy in recovering original images after data extraction.

Analyzed 100+ test images and optimized data embedding algorithms to maintain a Peak Signal-to- Noise Ratio (PSNR) above 40 dB for high-quality image preservation.

Improved encryption efficiency, reducing data extraction time by 20%, enhancing the security of digital watermarking applications.

AWARDS RECEIVED

• THE BRAHMOS AEROSPACE received from former Indian President DR.APJ ABDUL KALAM for securing First in the school in Grade 12 exam

• First Prize in the technical Quiz conducted by SCAD Engineering College

• First in Mathematics Quiz conducted by Einstein Engineering College

• First prize in the technical presentation conducted by Einstein Engineering College and Arunachala College of Engineering for Women

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