Aspiring entry-level data scientist with a passion for using data to solve real-world problems. Proven ability to collect, clean, and analyze data using Python, SQL. Seeking an opportunity to apply my skills and knowledge in a data science role where I can make a meaningful impact.
APAC Data Centre for Deutsche Bank
Key responsibilities:
Client: -Deutsche Bank:- Administrator – DataCenter
Jun 2015 - Aug 2021
Client: Bank of America :-Technical Executive
Jan 2013 – Jun 2015
Clients HDFC Bank :- Technical support Engineer (Remote)
May 2011 - Sept 2012
Clients Credit Suisse :- Desktop Management Engineer
Sept 2012 - Jan 2013
Python (Pandas, Numpy, scikit-learn, Matplotlib)
undefinedBizCardX- Extracting Business Card Data using OCR :-
I recently completed (BizCardX- Extracting Business Card Data using OCR). OCR (Optical Character Recognition) is a technique that detects text inside a digital picture. It is frequently used to detect text in scanned documents and photos. I demonstrated how a user may upload any Business card picture to my web app and extract data such as Company name, Card holder name, Designation, Email, Website, Mobile number, and Address from the provided image. The retrieved data may then be updated or deleted from the database through the edit option. This project was constructed in Python using the packages easyOCR, streamlit, regular expressions, pandas, matplotlib, and MySQL. Check out my LinkedIn page for further information.
𝐏𝐡𝐨𝐧𝐞𝐏𝐞 𝐏𝐮𝐥𝐬𝐞 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 :-
The project involved cloning and extracting data from the PhonePe Pulse GitHub repository. The data was then transformed using Pandas and stored and retrieved using MySql.
One of the main highlights of the project was the development of an interactive dashboard using Streamlit and Plotly. This dashboard enabled users to visualize different data sets and figures with ease. To display the data on a map, I utilized Plotly's geo map functions, which made it simple for users to explore and gain insights from the data.
Check out my LinkedIn page for further information.
TWITTER SCRAPER :-
Twitter Scraper that accepts a keyword or hashtag as well as the start date, end date, and number of tweets to scrape as input. It allows you to add data into the database and get data in multiple forms such as CSV and JSON.
Check out my LinkedIn page for further information.
JCHNP Hardware and Networking from Jetking
Az-900
Vskill Certified Linux Administrator
Aws associate Certified from edureka
JCHNP Hardware and Networking from Jetking