Focus : Machine Learning, Artificial Intelligence, Data Analytics, Data Visualization
Specifications : Machine Learning, Data Visualization
Skills
Python, Java, MYSQL, MongoDB, R Programming, SAP ABAP With S4 Hana, HTML,CSS,JavaScript,Django, Microsoft(Excel,Word,PowerPoint, PowerBI),Languages
Python, Java, MYSQL, MongoDB, R Programming, SAP ABAP With S4 Hana, HTML,CSS,JavaScript,Django,Hobbies
Dancing, Listening Music, Playing Badminton
Summary
Aspiring Data Practitioner looking for an entry-level position in data science where I can apply my skills in data visualization, analysis, and programming.
Employment History
Junior SAP ABAP Consultant , Romsons Group Pvt Ltd
- Developed ABAP programs to streamline data collection and reporting, reducing manual navigation and allowing for Excel exports.
- Designed SmartForms for automated document preparation, eliminating the need for manual formatting.
- Created BDCs and BAPIs for efficient mass data uploads from Excel to SAP, reducing time and labor.
- Modified existing programs to correct errors, add new columns, and optimize performance.
- Implemented SAP PP module at the factory level, including mass data uploads and document replication from Tally to SAP.
- Enhanced standard SAP programs to align with specific business processes.
Education History
Internships
A 4-week virtual internship from that focused on learning and developing new skills in Data Science, gaining hands-on experience to enrich knowledge. According to the tasks assigned, created machine learning models like regression, decision tree, support vector machine etc. for the datasets given. All the pre-requisites of processing and visualizing the data was also undertaken.
An educational and virtual internship wherein different tasks were allocated. Got a hands-on how huge data sets are processed, visualized and then modelled using appropriate machine learning algorithm to achieve the desired outcome. I performed K-means clustering to segregate the customer preferences alongside all the pre-requisites.
http://github.com/hitanshigupta/CodeClauseInternship_KMeans-
Projects
My team had put up an exhibition on Data Exploration and Visualization using Python libraries like Pandas, Numpy, Matplotlib, Seaborn and Excel on a dataset collected via conducting a survey on the Services of CHRIST bus services.
http://github.com/hitanshigupta/MScDS-MDS171-23122015-Hitanshi/tree/main/CACS/CAC2
My team created an UI using Django, HTML, CSS, JavaScript on the topic Accommodation Management in Lavasa, to equip the students of the university find the available properties for their stay.This project also included the integration of database SQLite.
Applied various supervised and unsupervised machine learning algorithms like linear/ logistic regression, Decision Trees, SVMs, Neural Networks, Clustering: K-Means and Hierarchical on multiple datasets available in Kaggle and checked the efficiencies, using powerful Python libraries like Sklearn,Statsmodel etc.