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ADITYA SALUNKHE

adg5cr@r.postjobfree.com 857-***-**** Boston, MA

LinkedIn: linkedin.com/in/aditya-salunkhe-113159148/ GitHub: github.com/adityasalunkhe EDUCATION

Master of Science, Information Systems Sep 2019 - May 2021 (Expected) Northeastern University, College of Engineering, Boston, US GPA: 3.7/4.0 Application Engineering Development, Database Management and Design, Data Science Engineering Methods and Tools, Designing Data Architecture and Business Intelligence, Advances in Data Science Architecture, Big Data Systems and Intelligence Analytics

Bachelor of Engineering, Information Technology May 2019 Ramrao Adik Institute of Technology, Mumbai University, India TECHNICAL SKILLS

Programming Languages: Python, R, SQL, Java, C

Data Science Frameworks: NumPy, Pandas, SciPy, Seaborn, matplotlib, scikit-learn, Keras, Tensorflow, NLTK, PySpark etc. ETL & B.I reporting: Informatica, Talend, Alteryx, Tableau, Power Pivots, PowerBI, QlikSense, Minitab, SPSS, Salesforce Einstein Analytics, Google Analytics, R-Shiny, SAS Data Studios Scripting/Databases: MySQL, Microsoft SQL Server, PostgreSQL, Oracle SQL developer, PLSQL, MS Access, SSIS, SSRS, SSAS, MongoDB (NoSql), Hive, Impala, Bigquery Cloud Technologies: Microsoft Azure, Google Cloud Platform, AWS, Snowflake, Spark BA Tools: Microsoft Visio, Statistical Testing, Advanced Excel, PowerPoint, Outlook, Trello, Lucid Charts, Draw.io, Toad Data Modeler, ER DataStudios, Balsamiq Wireframes ML Deployment Frameworks: Streamlit, FastAPI, Flask, Docker, Kubernetes Certificates: AWS Analytics, KPMG Data Analytics Consulting & Financial Modelling, ANZ ML & Predictive Analysis, SQL for Data Science-UC Davis, Tableau Analyst-Credly Software Dev. Methodologies: Agile (SCRUM), Waterfall, VUCA Project Environment, Kanban PROJECTS

IMDb Data Warehousing, Data Analysis & Business Intelligence Jan 2020-April 2020 Designed ETL workflows using Talend to integrate data into facts and dimensions of a data warehouse modelled using ER Studios, accomplished data cleaning, data staging & one-click ETL workflow parallelization using master job Optimized Business Intelligence reports and interactive dashboards for KPIs using Tableau and Microsoft Power BI for guided business analytics in a data centered environment

Lending Club Loan Distribution Forecasting - Machine Learning and Deep Learning Jan 2020-April 2020 Cleaned the data & performed in-depth exploratory analysis for understanding profitable distributions, planning the investment strategies & analyzing risks for loan distributions with more than 145 unique features in 12 years Implemented models to forecast interest rates, identify potential loan defaulters and predict charged-off loans using neural networks and traditional machine learning algorithms; achieved optimal score of 89.27% for predicting interest rates using gradient boosting techniques & accuracy of 92.36% using Random Forest Classifier for charged-off loans Dental Office System Relational Database Management System Aug 2019-Dec 2019 Translated business requirements into technical design specifications for a Relational DBMS- Dental Care System using Toad Data Modeler & reverse engineered the DDL scripts

Developed a normalized MS SQL Server database and applied query optimization for rapid data retrieval using indexes; implemented SQL based stored procedures and triggers to update patient medical history, billing status and revenue generated, performed CRUD operations & established connectivity for a web-based front-end using PHP WORK EXPERIENCE

Graduate Teaching Assistant - Data Science Engineering, NEU, Boston Aug 2020 - Present Delivered a range of assessment and tutorials for data analytics best practices, traditional ML approaches, Neural Networks, statistical testing/ analysis etc. for Graduate students Delivered hands-on for hyperparameter tuning, feature engineering, EDA, model validation & evaluation Supervised and evaluated (over 15) Data Analytics, Machine Learning & Deep Learning projects based on numerical, categorical, time-series industry scale datasets

Academic Research Intern - Data Analyst and Machine Learning, R.A.I.T, Mumbai Oct 2018 - Mar 2019 Performed SQL scripting to model database, implemented web scrapping with TweePy to gather twitter product related data for sentiment analysis thereby reducing manual efforts by 45% Implemented pre-processing, tokenization, vectorization and utilized NLP methodologies like Word2Vec, TF-IDF, Naïve Bayes, SVM

& Deep Learning techniques like RNNs (LSTMs, BERT etc.) for text classification Delivered data analysis and insights reports for comparative analytics of sentiment polarities vs. stock prices, co-authored research chapter, “An Overview of Methodologies and Challenges in Sentiment Analysis on Social Networks” Data Management and Web Design Intern, Ornate Software Solutions Pvt. Ltd. Mumbai Apr 2018 - Jun 2018 Designed and developed an intra-organization platform for HR services for resume categorization and cataloguing Identified business requirements, implemented data profiling, modelled databases using relational DB modelling tools, performed data analysis, developed visualizations, story boards & BI reports for business and audit analysis Collaborated with business & web-development team in defining the product vision, planning critical risk management strategies, designed wireframes, mockups & implemented software development best practices

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