Data Analyst Information Technology

Rajeev Ramesh Data Analyst

**************@*****.*** 716-***-**** Linkedin

Profile

Data Analyst with 2+ years of experience in statistical analysis, machine learning, and data modeling. Proficient in Python, R, Snowflake, Power BI, and Tableau. Snowflake Pro Certified, Dataiku Core designer and ML Practitioner certified, and Tableau Desktop Specialist with good knowledge of optimizing processes and driving informed decision-making. Skilled in developing solutions for business challenges. Seeking to apply analytical skills to contribute to a growth- focused organization.

Skills

Languages

Python, SQL, R Programming, Java, JavaScript, C, C++, SAS

Artificial Intelligence

Machine Learning Algorithms, Random Forest, Linear Regression, SVM, Decision Tree, TensorFlow, Keras, Sci-kit Learn, Deep Learning, YOLO, AWS Sagemaker

Data Processing & Streaming

PySpark, Apache Kafka, Hadoop, Pandas, NumPy,

Airflow, Snowflake, ETL, NLTK, SciPy, OpenCV, NoSQL Frameworks and Tools

Flask, Django, MySQL, PostgreSQL, MongoDB, Git,

GitHub, Docker, CI/CD pipelines, Jenkins, Statistics, Power BI, Tableau, RESTful APIs, Agile, Dataiku

Professional Experience

Data Analyst, Radiance Technologies 06/2023 – Present Remote, USA Conducted data-driven analysis to explore correlations between patient age and disease incidence, leveraging Python and Natural Language Processing (NLP) techniques, analyzing a dataset of 10,000 medical reports. Engineered a Health Text Summarizer project employing advanced NLP methodologies to distill key information from lengthy medical records, achieving a summarization accuracy of 85%. Developed robust Machine Learning algorithms, utilizing a dataset of 50,000 patient records, to discern the relationship between age demographics and disease occurrences, achieving a predictive accuracy of 90%. Data Scientist, Genpact 04/2022 – 07/2022 Pune, India Implemented Python and SQL for automated extraction and cleansing of diverse data sources, leading to a 15% reduction in credit risk exposure.

Utilized machine learning algorithms (logistic regression, random forests, gradient boosting) to construct models, resulting in a 10% decrease in default rates.

Contributed to enhanced loan approval processes through advanced model implementation, optimizing decision- making with a data-driven approach.

Software Engineer, Kipi.Bi 03/2021 – 04/2022 Pune, India Acquired certification, showcasing mastery in Snowflake's data warehousing platform. Developed Python scripts for intricate ETL processes, demonstrating problem-solving skills in data engineering. Designed and implemented scalable ETL pipelines for data migration from AWS platform, ensuring data integrity and optimizing performance.

Applied data analysis techniques using Power BI to derive actionable insights, contributing to decision-making. Education

Master of Science, University at Buffalo 08/2022 – 01/2024 Buffalo, USA Data Science and Applications

Bachelor of Engineering,

International Institute of Information Technology

Computer Science

08/2017 – 05/2021 Pune, India

Certifications

Snowflake Pro Core Certified Tableau Desktop Specialist Dataiku ML Practitioner Projects

Qurio Proctoring Tool, University at Buffalo

Researched and built a Desktop-based AI-driven Proctoring System Qurio to capture flagging activities and ensure a hassle-free exam-taking system.

Successfully led client-side development and integrated numerous functionalities of face recognition and detection algorithms, and object detection algorithms using CNN from Python to C#. Performed advanced analytics using Tableau for dashboarding and reporting to visualize key metrics and insights. Implemented robust data processing and storage solutions using SQL to manage large volumes of exam data.

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