Nithish Kumar

Proactive problem solver, skilled in performing relevant research to understand the problem, design and conduct experiments, perform Exploratory Data Analysis(EDA), prepare algorithms to clean and process data using relevant filtering and encoding techniques, apply different machine learning methods, derive meaningful insights or develop applications.

Profile Summary:

I am an accomplished data analyst with a diverse range of experience across multiple industries. As a freelancer at Marble AI, I am currently working on a project to transcribe video lectures into notes and convert them into a book. I utilize Python libraries for audio-to-text conversion and leverage OpenAI's Whisper for transcription. Additionally, I am developing a model to break down transcripts into meaningful sections, enhancing readability and comprehension.

In my previous role as a Software Engineer at 1Pharmacy Network, I developed and implemented an algorithm to efficiently match records between item masters, significantly reducing manual effort. I also conducted in-depth analysis of ERP usage patterns for pharmacies, extracting valuable insights to drive informed business decisions. Furthermore, I prepared comprehensive product catalogs for stores to be listed in Dunzo through the 1Pharmacy pilot project.

During my tenure as a Data Science Intern at AI Variant, I built and deployed a robust Random Forest model to predict the impact of IT service disruptions on customers, achieving high accuracy and performance. I excelled in data cleaning, exploratory data analysis (EDA), and advanced feature selection techniques. Working closely with an industry expert, I effectively communicated findings using compelling data visualizations.

As a Research Analyst at TNG Innovation Labs (formerly Neva Innovation Labs), I owned the integration of raw materials inventory and finished products data into a cloud-based material requirements planning system. I conducted in-depth analysis of installed asset trackers, promptly identifying anomalies and enabling proactive maintenance for exceptional customer satisfaction. Additionally, I provided subject matter expertise in component selection, production documents, and instructional materials.

In my role as a Research Scientist at Neva Innovation Labs, I collaborated seamlessly with cross-functional teams to develop innovative proof-of-concept biomedical products, such as a smart bandage and smartphone microscope. I have a proven track record of effectively communicating complex technical concepts through meticulous reports outlining the research and development process. Furthermore, I demonstrated exceptional technical skills by successfully building and calibrating an in-house moisture sensor, ensuring accurate and consistent results.

Overall, I bring a strong analytical mindset, advanced technical skills, and a passion for utilizing data-driven insights to solve complex problems. I am adept at leveraging various tools and technologies to extract meaningful information from data, enabling informed decision-making. With a proven ability to work independently and collaboratively, I am well-equipped to contribute as a data analyst in diverse environments.

Summary:

I hold an M.Sc. in Physics and have always been passionate about data analysis. Throughout my education, I was a dedicated student who spent significant time in the laboratory, developing a strong interest in conducting experiments and analyzing data. This experience allowed me to gain valuable skills in regression analysis, scaling, interpolation, normalization, and estimating experimental error.

The skills I acquired during my education have proven to be invaluable in my career, particularly when it comes to tackling various analytics tasks and problem-solving. I thrive on the opportunity to leverage my expertise to extract meaningful insights and solve complex problems.

With a solid foundation in data analysis and a deep understanding of statistical techniques, I am confident in my ability to contribute effectively to any data-driven organization. I am eager to apply my skills and make a significant impact as a data analyst.