Maanik Garg

Maanik Garg

Data Scientist
Germany

About Me

With two years of experience as a Data Scientist and one year in software development and testing at Cognizant, I specialize in harnessing advanced analytics and machine learning methodologies to extract actionable insig…

Experience

Software and Data Associate

Cognizant, Pune
Dec 2020 - Feb 2024 · 3 years 2 months

Successfully deployed a Machine Learning Model for Wafer Fault Detection, achieving an accuracy rate of 87% using Random Forest and XGBoost algorithms.
Played a key role in a 9-member team, responsible for data aggregation, preparation, and deployment of various Machine Learning models.
Collaborated closely with team leads to establish and maintain data modeling standards, ensuring consistency and reliability across projects.
Conducted comprehensive testing and validation of multiple machine learning models to ensure accurate predictions, contributing to the delivery of robust solutions.
Proficient in Data Science, with expertise in applying and deploying ML models on cloud platforms.
Experienced in utilizing data analysis tools and techniques to derive actionable insights from large datasets.
Skilled Windchill Java developer, proficient in creating and maintaining code to support data-related applications.
Demonstrated expertise in software testing, ensuring the integrity and reliability of data-driven applications.
Proficient in Agile methodologies for efficient project management and experienced in using Git for collaboration and code management.
Familiarity with CI/CD pipelines for enhancing development efficiency and ensuring product quality.
Proven track record of delivering high-quality data solutions within project deadlines.

Data Analyst Intern

Leaf Innovations Pvt. Ltd., Delhi
Jun 2019 - Aug 2019 · 2 months

Implemented a recommendation engine to deliver personalized music recommendations to customers based on their listening habits.
Leveraged Collaborative Filtering and Market Basket Analysis techniques within the model, achieving an accuracy rate of 87%.
Developed a Tableau dashboard to visualize and interpret test results, enabling thorough analysis and informed decision-making processes.

Skills

Core Java Data Analysis Professional Data Mining Python SQL Database Statistics Agile Amazon Web Services Data Science Data Representation GIT Version Control (GIT) Machine Learning Algorithms CI/CD SQL Java Machine Learning Data Analysis Data Wrangling Natural Language Processing Probability & Statistics Recommendation Engine Prediction Git JSON Agile Software Development Windchill Microsoft Office Random Forest XGBoost Tableau Collaborative Filtering Market Basket Analysis TfidfVectorizer Passive Aggressive Classifier K-means Clustering Power BI Recursive Feature Elimination Variance Inflation Factor
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