I am a results-driven Data Scientist with over three years of experience in the field. My expertise lies in data sciences, web automation, and Python scripting, where I have successfully designed and implemented complex algorithms, optimized performance, and collaborated effectively with cross-functional teams to achieve project goals. I take pride in my ability to use various data visualization tools to convey intricate data insights to non-technical stakeholders, ensuring that data-driven decisions are accessible and actionable.
With a passion for leveraging data to drive insights and make informed decisions, I have a track record of leading multiple projects and delivering end-to-end products for both business and clients. I specialize in building self-running artificial intelligence (AI) systems that automate predictive models, as well as extracting, gathering, and analyzing data using specialist tools. I am dedicated to ensuring data cleanliness and feature extraction from raw data, including biomarkers, while also excelling in data crawling, scraping, and database management. My core competencies include machine learning engineering, API development, algorithm design, and project management.
In terms of technical proficiencies, I am skilled in Python, SQL, C#, HTML, CSS, and JavaScript, with experience in using tools like Selenium, MVC5, Bootstrap, and Rest API. I am an effective communicator and collaborator, having worked with platforms such as Slack, Teams, Zulip, Zoom, Meets, and Jira. I am enthusiastic about solving challenging business problems with data-driven, action-oriented solutions and am committed to contributing value through my data science expertise.
Function in close collaboration with data scientists and analysts to deliver robust data support for analytical projects. Create and retain accurate documentation for data engineering processes and best practices.
Key Accomplishments
Ensured accurate diagnosis and swift troubleshooting of data-related issues and performance bottlenecks.
Improved code quality and efficiency while participating in code reviews and mentoring junior team members.
Applied python to ensure timely cleaning and extraction of necessary features (biomarkers) from raw data. Hold full accountability for conducting exploratory data analysis and detecting outliers (biomarker) to evaluate the performance of centers and quality of samples on a regular basis. Extract, sort, and merge information from lab analyzers (Cobas c311, e411, and Sysmex) to the respective master according to the project and center.
Key Accomplishments
Expertly utilized Python to divide and prepare multiple excel sheets from lab data in a single file according to the pattern and deliver lab reports.
Created different pipelines of preprocessing the data that was entered by the DEOs. Used different libraries of Python to correct the mistakes in SPSS files.
Used various methods to deal with the errors in the SPSS data.
Created pipelines to perform various checks on the Data for the cleaning purposes.
Collected, retrieved, and compared the data from database and scrapped data. Used Python to oversee functions related to web scrapping of bizbuysell.com website.
Key Accomplishments
Succeeded in splitting the key information into JSON files or Excel sheets according to categories.
Assumed and maintained liability for creating multiple APIs and assuring reporting between Odoo and PostgreSQL DB while using XML and Python. Created low level requirement document in liaison with different teams. Followed best practices to ensure the readability and maintainability of the code.
Key Accomplishments
Examined and made necessary changes in the master Odoo files according to the client requirements.