Data Scientist Adjunct Professor

Uma Umesh Gajendragadkar

Ph.D. (Computer Engineering)

Ph: 206-***-****, Email – *********@*****.***, LinkedIn - https://www.linkedin.com/in/umagajendragadkar, Publications A data scientist, software engineer, technical blogger and a faculty with 5 years of experience in Data Science and Machine learning, 7 years in Software Development, 13.5 years as faculty in Computer Engineering, Information Technology, Electronics Engineering. Requirements gathering, designing products from scratch, development through complete SDLC lifecycle. Mentoring, teaching and guiding more than 1000 undergraduate & postgraduate engineering students at various academic institutes.

Qualifications

Data Science Career Track Certificate at Springboard - 2019 Ph.D. (Computer Engineering) - Savitribai Phule Pune University (University of Pune), India – 2017 M.E. (Computer Engineering) - Mumbai University, India – 2004 B.E. (Electronics Engineering) - Shivaji University, India – 1993 Work History

Data Scientist – Microsoft (Pactera Edge) Feb 2020 – Apr 2020 Member of Dynamic 365 Fraud Protection Risk Data Science team. Data Analysis and Investigation, analyzing data, finding trends, and presenting it to stakeholders. Prototyping to handle fraud attack patterns, monitoring alerts, adding features to fraud detection system using SQL scripts. As a business owner, presented Monthly Business Reviews to all stakeholders. Data Science Fellow – Springboard Mar 2019 – Feb 2020 600 hours of hands-on training, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning. Two projects done are 1) Product Recommender with Amazon Review Dataset

Python Tools: Apache Spark, Spark.MLLib, Scikit-Learn, Statsmodel, ALS, Python, Jupyter Designed and developed a product recommender with Amazon Review dataset using Apache Spark’s MLlib through complete lifecycle of a data science project with data acquisition, cleaning, exploratory data analysis, coding, and evaluation. Performed data wrangling to correct all outliers and missing data values. Modeled the training data using ALS collaborative filtering and hyperparameter tuning and chose best performing model by RMSE.

2) House Price Prediction and Forecasting

Python Tools: Pandas, NumPy, Seaborn, Datetime, Scikit-Learn, StatsModel, SARIMAX API, XGBoost, Linear Regression Designed and developed a house price forecasting and prediction based on numerous factors like Median Income from US Census Bureau, schools, crime rate, hospitals in the area. Performed data wrangling to correct all outliers and missing data values. Utilized exploratory data analysis to hypothesize potential predictors and engineer new features. Performed time series analysis with Zillow County time series and forecasted house prices in a county in year 2020. Used ARIMA model for time series forecasting. Modeled the training data to XGBoost regression and linear regression algorithms. Chose best performing model by RMSE

Data Scientist Trainee - Simplilearn Nov 2016 – Feb 2018 Implemented data science projects using R in Internet, Retail, Health, and Insurance domain. Data was analyzed to find healthcare costs and utilization in a hospital, analyzed the report of Motor Insurance company, analyzed sales report of clothes manufacturing unit, analyzed data collected from internet browsing. ANOVA, Correlation, Linear Regression, Logistic Regression, Time Series Analysis were used. Got training and earned certificates in Data Science with R, Data Science with Python. Adjunct Professor - College of Engineering Pune (COEP) Oct 2015 – Jun 2017 Conducted lectures and labs on Information Retrieval and Information Systems for undergraduate and postgraduate students of Computer Engineering and Information Technology department. Assisted in NBA Accreditation of the Computer department and served as a reviewer for IEEE International Conference on Computing, Analytics and Security Trends – 2016. Setting and assessing exam papers and grading for the subjects taught, generating results sheets. Ph.D. Research Fellow – University of Pune (Research Center – COEP) Aug 2012 – Apr 2017 Received TEQIP Research Fellowship for PhD in Computer Engineering. Designed and developed novel algorithms FM5 (a context sensitive user intention identification algorithm) using association rule mining and KNN. Led a team to collect, collate, clean and wrangle data required for auto-completion data set creation. Worked in Machine Learning and used algorithms like Association rule mining, K-nearest neighbor in research work to design FM5 algorithm and implemented PCA in R as part of Machine Learning course. Conducted lectures and labs for the Undergraduate and Postgraduate students of Computer Engineering and Information Technology on various subjects - Operating System and Networking, Advanced Database Management System, Discrete Structures, and Advanced Topics in Graph Theory. Setting and assessing exam papers and grading for the subjects taught, generating results. Software Consultant - UMA Consultancy Services May 2008 – Jun 2012 Requirements analysis, Design, Develop, Testing, Marketing of the product called ‘AnusandhAn SahAyak - an Internet Research Tool’

- a software product for researchers which helps to download, organize, tag, track research articles. Designed and developed the company website - www.umaconsultancy. com and went through complete SDLC (architecture, development, testing, and deployment) life cycle. Developed the product for both Windows Desktop and Windows Mobile. Software Engineer - Spectrum Business Supports May 1999 – Oct 1999 Conducted Requirements Gathering and Analysis for Court case Tracking System developed using VB and MS Access. Worked with users and stakeholders to analyze and validate requirements. Designing and implementing the solutions as per client requirements. Responsible for specifications, design and implementation. Went through complete SDLC for the product. Conducted demos of built software at client's office and communicated with both client and management. Conducted training for software usage at client site for end users. Designed and wrote help files and user manuals and have done user acceptance testing. Served customers and business by running and viewing reports. Executed and validated test cases. Acquired copyright for the product and marketed the product. Functional Skills

Problem Definition, Solution Development, Requirements Gathering, Experimental Design, Team building, Presentation, Teaching, Mentoring, Hiring, Project management and co-ordination Technical Skills

SQL, Python (Sci-kit, NumPy, Pandas), Jupyter, Anaconda, Apache Spark, R, Java, .NET, VB.Net, XML, JSP, ASP.Net, Databases, MySQL and Matplotlib, JSON, CSV, Web-Scraping, MatplotLib, Seaborn MACHINE LEARNING - Hypothesis Testing, A/B Testing, XGBoost, Linear Regression, Logistic Regression, Classification, KNN, Association rule mining, Naive Bayes, K-Means Clustering, Collaborative Filtering, Recommendation Engine, Time series forecasting, Predictive Modeling, NLP

Previous Experience

Assistant Professor – Army Institute of Technology, Pune, India – Jul 2003 – Feb 2008 Freelance Software Consultant - Shakambhari Consultants, India – Oct 1996 – Oct 1998 Lecturer - SES Polytechnic, Solapur, India – Sep 1993 – May 1998

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