Data Python

Savita Biradar

adjrel@r.postjobfree.com LinkedIn Github +1-847-***-**** 5820 N Jersey Ave, Chicago, IL, 60659, USA Summary Of Qualifications:

- Over 2+ years of experience in Data Analytic, Natural language processing & Web analytics, Feature Engineering and anomaly detection, Deep learning, Data Exploration &Visualization, Predictive modeling.

- Adept in statistical programming languages and Big Data technologies like R,Python, SAS, Apache Spark, Matlab,Hadoop, Hive, Pig

- Proficient in implementing Naive Bayes, LDA and hands on experience in Principle Component Analysis, Random Forests, SVM, Decision Trees,Clustering, neural networks, Linear and Logistic Regression.

- Extensively used SQL, Numpy, Pandas, Scikit-learn, pySpark for Data Analysis and Model building.

- Strong experience and knowledge in Data Visualization with Tableau creating: Line and scatter plots, Bar Charts, Histograms, Pie chart, Dot charts, Box plots, Time series, Error Bars, Multiple Charts types, Multiple Axes, subplots etc.

- Expertise in Normalization to 3NF/De-normalization techniques for optimum performance in relational and dimensional database environments.

- Experience in designing, developing, scheduling reports/dashboards using Tableau and DataStudio.

- Strong experience and knowledge in Data Visualization with Tableau creating: Line and scatter plots, Histograms, Bar Charts, Box plots, Dot charts, Pie chart, Time series, Multiple Charts types, Error Bars, Multiple Axes, subplots etc. Education:

Northeastern Illinois University, Chicago, Illinois, USA January 2020 - December 2020 Master of Science, Computer Science Availability: January 2021 iFEEL-Institute for Future Education Entrepreneurship & Leadership, Pune,India January2019 - December 2019 Post Graduate Diploma, Data Science and Analytics

D.Y. Patil University, Mumbai, Maharashtra, India July 2013-March 2018 Master in Technology, Integrated Biotechnology (Major Bioinformatics)

(Bachelors + Masters)

Professional Experience:

Northeastern Illinois University, Chicago, Illinois, USA January 2020-December2020 Graduate Research Assistant - Developer

- Development of a Dialogue system to communicate breast cancer information with Latinx patients and caregivers

- Conveying accurate health information, gauging understanding, helping patients and assessing new/changing symptoms

- Implementation using natural language processing in Python, Java.

- Collaborating with a cross-disciplinary teams of NEIU faculty and researchers as well as community health organizations.

- Developed back-end of the application using the flask framework. IGSRS - Alchemus, Mumbai, India April 2018 - November 2019 Data Engineer

- Responsible for integrating AI into talent acquisition system

- Worked with various data format like XML, JSON and implemented various machine learning algorithms using Python and R.

- Collecting and analyzing the internal and external data, error correction and defined criteria for missing values.

- Worked on data cleaning and ensured data quality, data consistency, data integrity using Pandas, NumPy and NLP packages.

- Used Python - NumPy, SciPy, Pandas, Scikit-learn, Seaborn,LDA, Naive Bayes to develop a variety of models and algorithms for data analytic.

- Participated in Business meetings to understand the business needs & requirements.

- Provided suggestions to improve the product beyond the scope and provided performance feed back. IAastha, Mumbai, India January 2018 - April 2018

Business Intelligence Intern

- Involved in reviewing business requirements and analyzing data sources from Excel for design, development, testing of reporting and analysis of project within in Tableau Desktop.

- Developed POCs by building reports and dashboards using Tableau 2018.1 to demonstrate quick wins.

- Created views in Tableau Desktop that were published to internal team for review and further data analysis and customization using filters.

- Created calculated fields, parameters and action filters for building dashboards and worksheets in tableau. Master’s Project:

Dialogue System with similarity algorithm analysis.

- Investigated on algorithms based on two text similarity models and compares their efficiency against the human scores.

- The key idea behind these experiments is to check which algorithm gives more human-like results.

- We have used 2 models. One check at the semantic level: BERT, and the other that checks at the surface level based on word frequency: Cosine similarity using Count Vectorizer.

- We then, compare these algorithms to human judgments of similarity. Our results highlight both the possibility and shortcoming of using these models and which one gives the neared results to humans.

- Used Python- Numpy, Transformers, Tensorflow to develop the BERT model.

- The corpus used was SNLI, which is the human written English sentences. Academic Projects:

File system

- Developed an online file system over sockets.

- File system was composed of server, where more than one client can get add and do the file action like create a directory, Move a file, Delete a file etc.

- Technology used were JAVA, Spring Boot, React JS. Robotics

- Created a speaking robot which can change expressions while speaking.

- Technology used was Python, flask, NumPy, SciPy, Pandas, Scikit-learn, CSS, HTML.

- Implemented Naive Bayes for text classification. Intern Tracking System

- A high-level application of Intern Tracking System with a repository of Interns and employees in the organization.

- It tracks all the details of an employees and interns from the day one to the end of his/her course which can be used for reporting purpose, tracking of attendance, mark details, percentage calculations, completed project tenure, exam details. The main objective is to maintain the information of interns (Attendance, personal and academics). E commerce Web Application

- Developed an end-to-end pet service website where one can Register for pet training and order online pet accessories. Game Analytics

- Used Game data to forecast how many attempts a child will take to pass a given assessment. Detailed feature selection, construction, transformations. Imputation of missing data, treatment of data w.r.t outliers, PCA, one hot encoding etc.

- Implemented regression models using CatBoost, XGBoost,assessed the models based on statistics like RMSE and Gini index Skills And Technologies:

Programming: Python, Java, J2EE,R, Spark, SQL, NoSQL,SAS, HTML5, CSS, JavaScript, jQuery,Angular JS, Bootstrap Domain: Human Resource, Health Care

Tools: SQL Developer, Microsoft Visual Studio, MS Office, Eclipse, Pycharm, Brackets, R studio Database: Oracle 12c, MS SQL, MongoDB, SAS Studio

Version control/tool: Git, tortoiseSVN

Visualization tool: Data Studio, SAS, Tableau, Python (matplotlib, seaborn) Operating Systems: Windows, Linux

Certifications:

• SAS Certified Specialist: Base Programming Using SAS 9.4

• Certified FULLSTACK JAVA DEVELOPER, Institute : Seed InfoTech, Navi Mumbai.

• Certified for SCIENTIFIC WRITING, DYSBB.

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