INTERNSHIP EXPERIENCE

Aon Hewitt IT Intern Gurugram Jun 2019 - Aug 2019

• Training on Tableau, working on creating stories and dashboards to analyze trends and upgrading existing dashboards.

• Performed python scripting for data manipulation and data cleaning using Numpy and Pandas. Mages Studio Scrum Master Intern Gurugram May 2018 - Jul 2018

• Developed solutions using augmented and virtual reality technologies (Unity, C#).

• Organized daily standup meetings, managed brainstorming sessions, assigned work units.

• Created Virtual Reality application used by patients in pre-op phase for anxiety reduction and data collection. EDUCATION

Michigan Technological University MS Computer Science Houghton, MI Advanced AI, Advanced Algorithms, Computational Intelligence Teaching Assistant - Formal Models of Computation

Michigan Technological University BS Computer Science GPA - 4.0 Software Processes and Mangement, Artificial Intelligence, Sr. Software Design, Formal Models of Computation, Engineering Statistics

The NorthCap University Gurugram, HR

B.Tech Computer Science CGPA - 7.2

2004 Woodmar Drive,

Apt A, Houghton,

Michigan - 49931

P a r t h M i s h r a Email: adh4uw@r.postjobfree.com

Mobile: +1-906-***-****

Linkedin Tableau Github

SUMMARY

Determined and perseverant Computer Science Master's student seeking a summer 2021 internship to leverage exemplary technical and coding skills. Distinguished project and coursework experience in Artificial Intelligence and Machine learning, Tableau and Scrum.

Sep 2020 - Dec 2021 (Expected)

Sep 2019 - May 2020

PROJECTS

1. Pacman AI project, University of California Berkley

• Leveraged different agent based approaches which involved search strategies (Hill-climbing, min-max alpha beta pruning).

• Markov models using bellman equations to improve performance measure and efficiency of PacMan. 2. Tableau based projects:

• Analysis of Global superstore dataset to find trends of sales, categories affected, profit and loss through visualization.

• Created complete story on airbnb for formal presentation of data, built FIFA statistics dashboard. 3. Hypothesis Testing using Pandas and Scipy:

• Applied pandas and Scipy to run a t-test to compare the ratio of the mean price of houses in university towns the quarter before the recession starts compared to the recession bottom, established true hypothesis with a final result of 0.0027. 4. Understanding and Predicting Property Maintenance Fines using Scipy:

• Predicted compliance of blight ticket in the city of Detroit. Analyzed datasets from Detroit Open Data Portal.

• Achieved an Area under ROC of 77.54% using gradient boosted classifier. 5. Document Similarity & Topic Modelling using NLTK:

• Provided labels for documents by computing the similarity for each pair with an accuracy of 80%.

• Applied NLTK API for Gensim's LDA (Latent Dirichlet Allocation) model to 10 important topics in newsgroup_data. 6. Eelgrass, React application:

• Utilized react, created widget for wind direction and self learned Git for code collaboration.

• Implement offline data collection through local forage cache storing and react states. SKILLS

• Artificial Intelligence - Markov models, Hidden Markov models, Agent based approaches, Artificial Neural Networks

• Machine Learning - Supervised Learing, ML algorithms, NLP, LSTM, Tensorflow, CNN, RNN, Data Manipulation

• Git Python (Numpy, Pandas, sklearn, Matplotlib, NLTK, NetworkX, Tensorflow, Scipy) Tableau Agile Scrum CERTIFICATION

• Machine Learning in Python, University of Michigan, Coursera Certificate Link

• Text Mining in Python, University of Michigan, Coursera Certificate Link

• Introduction to data science using python, University of Michigan, Coursera Certificate Link

• Plotting, Charting & Data Representation in Python, University of Michigan, Coursera Certificate Link

• Tableau Bootcamp, Udemy Certificate Link

Jul 2016 - May 2019

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