Shubham Kamble is a professional with a Bachelor's degree in Computer Science and experience as a Data Analyst in the healthcare domain. He possesses strong statistical and analytical abilities, coupled with expertise in ETL pipelines, data mining, and machine learning techniques. He is proficient in Python, SQL, and various cloud technologies like GCP.
Experience
Data Analyst
FIGMD
Perform data exploration and data mining of Healthcare Clinical and claims large-scale hospital datasets/warehouses to organize, collect, and standardize data. Working in ETL pipeline to Handle large volume of data using (Big Query ,SQL,API) to extract healthcare data which comes in different format. Processing the raw data and performing different operations on parsed data like preprocessing on which the Data is stored on GCP.
INeuron
Working on Machine Learning, Statistic, EDA for Data Exploration. Utilized Algorithms like Regression, Classification, Clustering & Time Series. Text Preprocessing Using NLP Techniques like- Tokenization, Lemmatization, Bag of Words, TFIDF. Worked on Data Visualization Tools like Tableau.
Software Developer
Maharashtra Knowledge Cooperate Limited
Implementation using Web development framework including the Data Analysis with Project Development and Data Pre-processing Technique for making the data useful for creating Machine Learning Models. Executed end-to-end. Worked on Multiple Web Application Using JavaScript, Vuejs along with Mongo DB, SQL Queries for Report Generations. Utilized Data for Data Analysis, Data Modeling & Information Classification and Build scalable, performance optimized, secured and easy to maintain solutions.
FULL STACK DATA SCIENCE INTERN
Imarticus
Worked on HR Analytics to detect how many Employees will leave organization or not by Using Classification Technique and leading the team.
Education
NBN School Of Engineering
BE
Computer Engineering
Marathwada Mitra Mandal Polytechnic
Diploma
Computer Engineering
Epiphany High School
SSC
Licenses & Certifications
Certificate in Programming Python
Microsoft Virtual Academy
Fundamentals of Data Analytics
Analyttica