Adarsh Vaderobli

+1-312-***-**** ac7u4u@r.postjobfree.com https://github.com/adarsh0-07 linkedin.com/in/adarsh-vaderobli-61185454/ SUMMARY

• Highly Motivated Data Scientist passionate about data-driven decision making. Working knowledge of SQL & Python to model large structured and unstructured data. With 4 years of professional experience and a Master’s degree in Analytics and Optimization ready to take on challenging business problems by leveraging the statistical machine learning techniques to derive data-driven actionable insights. EDUCATION

University of Illinois at Chicago Aug 2016 - May 2018

• M.S. in Industrial Engineering, GPA: 3.55/4

Courses: Data Science, Data Mining, Big Data Analytics, Optimization, Computational Statistics. Visvesvaraya Technological University Aug 2008 – Jun 2012

• B.E. in Industrial Management, GPA: 3.7/4

Courses: Operations Research, Financial Accounting, Discrete Event System Simulation. SKILLS

• Programming: Python, R, TensorFlow, SQL, MS Excel (Pivot Tables, VLOOKUP), RapidMiner.

• Analytics: Regression, Classification, Recommender Systems, Frequent Itemset Mining, Text Analytics, A/B Testing, Optimization Techniques.

• Machine Learning: Decision Trees, SVM, Ensemble Methods, Clustering, Deep Learning, Neural Networks.

• Visualization: Tableau, D3.js, PowerBI, Plotly, Bokeh.

• Others: Spark, Hive, Pig, Hadoop, GAMS (CPLEX), Teamcenter, SAM, Arena.

• Cloud: AWS – S3, EC2, Microsoft Azure

Experience

Research Assistant University of Illinois at Chicago Dec 2017 – Present

• Currently working on 'Stochastic optimization to reduce the cost of energy in parabolic trough solar power plants.

• Building models to forecast Irradiance using Machine learning, Time series Analysis Techniques. Data Analyst Allegis Group Nov 2013 – Jun 2016

• Extracted parts data from the Oracle SQL Database and Siemens PLM Teamcenter.

• Built Statistical Models (Hypothesis testing, Linear Regression) to predict the parts count for GM PPV build.

• Collaborated with SME’s and created a Master Process Data (MPD).

• Involved in setting KPI's, created Tableau dashboards for the team and ensured On-time delivery of the project is achieved.

Business Analyst Intern Aditya Birla Group Jul 2012 – Oct 2013

• Created Business reports on the daily production of various departments and reported to General Manager.

• Created compelling presentations for both internal and external customers.

• Analyzed, documented and managed requirements through the full project lifecycle. PROJECTS

• Topic Modelling: Used Stack Over Flow Question data to Cluster into five topics using LDA algorithm -Gensim, NLTK.

• Target Marketing: Used National Veterans Organization Data and Built various Adaptive basis function models to increase effectiveness of Direct Marketing Campaign -RapidMiner, Excel.

• Text Mining: Used Yelp restaurant review dataset to develop models to predict sentiment of the review -RapidMiner.

• Recommender Systems: Used MovieLens data to develop a collaborative filtering rating prediction system -PySpark. PUBLICATIONS

• Stochastic Optimization to Reduce Cost of Energy for Parabolic Trough Solar Power Plant for Different Weather Conditions.

Publisher: AIChE Journal of Energy Systems Publish Status: Under Review

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