| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE l EMAIL AVAILABLE l Linkedin l Github United States SUMMARYResults-driven Data Analyst with 3 years experience skilled in Statistics, Machine Learning, and Natural Language Processing, seeking to utilize proficiency in Python, R, and SQL, along with advanced analytical capabilities, to enhance innovation and efficiency in data-centric solutions. SKILLS Language/Databases- Python, R, MATLAB, Java, MySQL, PostgreSQL, NoSQL, HTML Framework/Libraries- Pandas, Scikit-Learn, Keras, Matplotlib, Spark, PyTorch, Hadoop, Hive, Tensorflow, NLTK Cloud/Analytics Platforms- AWS(S3, EC2, EMR, Redshift), Tableau, Power BI, MS Excel, IBM Cognos, Looker Other- Agile development, Git, GitHub, Statistical Methods,Predictive Analytics, Time Series, Neural Networks, Computer Vision, Large Language Models,Generative AI, Hypothesis Testing, ETL pipelines, ad-hoc, A/B testing Certifications- IBM Data Analyst Professional Certificate, SQL(Intermediate)-HackerRank, Machine Learning with Python-IBM.PROFESSIONAL EXPERIENCEData Analyst SocView Solutions, India Feb 2020- Feb 2021 Optimized and deployed end-to-end ETL pipelines for processing log data of multiple formats, achieving a significant 20% reduction in processing time. Leveraged Python for efficient information extraction and storage. Established rules-based alert systems to identify anomalies and performance deviations in log data. Collaborated with stakeholders to define KPIs and alert thresholds for proactive issue detection. Transformed log data into actionable insights for clients. Analyzed trends, identified recurring issues, and developed SQL queries to generate BI reports and data visualizations in Snowflake. Empowered data-driven decision making. Data Analyst Intern GlobalShala, India Aug 2022 - Sep 2022 Led a cross-functional team of 8 to analyze & visualize data to reduce advertising costs by 30% and grow ad-reach by 5X.Received Edge Award for best-performing intern among a group of 40 interns Machine Learning and NLP Teaching Assistant Illinois Tech, United States Aug 2023 - May 2024 Enhanced student learning by supervising, guiding, and focusing on practical data skills in R and Python, benefitting 2000+ students.Graded with fairness and improved student comprehension by 35% through feedback and support based on midterm and finals Employed ML and NLP models, helping students tackle real-world problems effectively (Statistical Analysis). EDUCATIONMaster of Applied Sciences (MAS) in Data Science, Illinois Tech Aug 2022 - May 2024 GPA- 3.75/4.0 Courses- Machine Learning, Big Data Technologies, Statistical Learning, NLP (Natural Language Processing), Data Preparation and Analysis, Project Management Activities- Executive Board Member (Indian Student Association), Business Relation Strategist(Career Services), Student Coordinator - (Kaplan Institute) Bachelor of Technology in Computer Science, Vellore Institute of Technology Aug 2017 - June 2021 GPA- 3.3/4.0 (Top 3% of the class) Courses- Discrete Mathematics, Design & Analysis of Algorithms,Object Oriented Programming Activities- Student Coordinator Placements & Training, Executive Board-Toastmasters Club RESEARCHMultiple-tags (Context-Aware) based Recommendation System (GitHub) Jan 2024 - Present Oversaw data pipelines for reliable predictive models, emphasizing data cleaning, feature engineering, & data visualization for insights. Utilized Hugging Face & NetworkX to process unstructured data, extracted context-aware tags, & present using LLMs to implement personalized recommendation systems Employed Lookers capabilities in data integration & preparation, facilitating advanced data processing EXTRACURRICULAR PROJECTSStatistical Insights into United Airlines Performance Python, Power BI, SQL Jan 2023 - Mar 2023 Leveraged SQL for in-depth descriptive analysis of historical flight data.Applied advanced statistical models to analyze United Airlines flight operations, employing linear modeling,lasso regression, including regression techniques and a Random Forest model, achieving 90% accuracy in forecasting flight statuses. Created interactive Power BI dashboards to visualize key findings and facilitate data-driven decision making Medical Insurance System Python, PySpark, Hive Aug 2022 - Dec 2022 Engineered a recommendation system grounded in deep learning methodologies, efficiently tackling present mental health challenges with a precision surpassing 70%. |
