Live Sujit Kadam-Post-Graduation:M.Sc.(Statistics): (Shivaji university)- Animated dashboards with R

Contact:
Youtube: https://www.youtube.com/channel/UCC5oc1BTdFGPVnvmEy--7WA
Linkedin: https://www.linkedin.com/in/sujit-kadam-720892130/


Education Qualification
• Post-Graduation: M.Sc. (Statistics): (Shivaji university, Kolhapur 2013)
• Graduation: B.Sc. (Statistics): (Shivaji university, Kolhapur 2011)
• HSC: Science: (Maharashtra board 2008)
• SSC: (Maharashtra board 2006)

Experience Summary
Capgemini
Designation- Data Scientist
Projects: -
As a Data Scientist was involved in various advanced analytical & Predictive Modeling projects.
Brief description of some of the projects handled is as below.
1) Forecast Modeling for Forecasting Demand and Offers of employee. (ARIMA) (By Merging of Time series and Machine learning concepts(Random forest))
Impact of this project: It saves around 5.5 M of company to do pre management for future demand

2)Conducted research Experiment on the association of Knowledge Management with Performance management and the ability of the former to predict the latter using Correlation Analysis and Multi-Linear Regression.

+ 3)Sentiment Analysis (Text Mining) 52,000 Employee reviews (Visualization and Insights)

4) Finding factors of employee attrition Created interactive Data Visualization by using ggplot ,plotly ,Shiny packages and descriptive statistics using R and Python.
Implemented advanced data mining algorithms like Naïve Bayesian, Logistic Regression, Neural Network, Decision Tree, Random Forest, Boosting using Python/R software’s to identify employment segments from train and test data sets to avoid good employment not leave that organization.
Created different metrics for checking the performance of algorithms.
Identified important variables that have influence on Left variable.
Used survival package to identify survival rate of specific group of people
Impact of this project: It saves around 11.2 M of company to manage all process of attrition and arrangement cost of new joiner
 Duration: Aug-2015 to June-2016
Trinary Semantics Ltd, Pune as a Data Scientist/Business Analyst
Brief description of some of the projects handled is as below
1) Commercial Vehicle Loan Scorecard
By Statistical Analysis Found Factors which causes for default in payments

2)Evaluated the customer experience in adopting mobile banking services in India with focus on the significant relationship between the factors that influence customer expectation to adopt mobile banking services in India and the influence of demographical variables on Mobile banking usage with Stepwise-Regression analysis, Exploratory Factor Analysis (EFA) on a sample size of 50000 customers across India.
Cluster Analysis for E-Commerce Models for Finding Customer Attitude
 Duration: June 2013 - July 2015

• Worked as a full time Lecturer at Yashawantrao chavan Institute of Science, Satara.
• Worked in Y.C. College from 7th June, 2013 to 10th July, 2014, as a Faculty Member.
• As faculty member, guided students of M.Sc. (Statistics), B.Sc. (Statistics) and B.Com get familiar with Statistical Concept.


Programming languages and BI tools: R, Python, SAS, Tableau, Power BI, SQL etc.

Statistical Techniques: Logistic/Linear, regression, Poisson Regression, Ridge Regression, Pattern Extraction
And Association Rules, including advance analytic techniques such as reliability models, stochastic model.

ML and DL Techniques: Decision tree, CHAID and CART tree, Cluster, Support Vector Machine, Neural network, Image Processing ,Deep Learning , Random forest, Including NLP task.



Para conhecer mais do meu trabalho:
https://linktr.ee/estatidados

#datascience #machinelearning #deeplearning