Social Media Data Analyst

Krisha Mehta

+1-206-***-**** adjl0o@r.postjobfree.com linkedin.com/in/krishamehta98/ Seattle, WA

Education

University of Washington (UW), Seattle, WA Expected: March 2022 Master of Science in Data Science GPA: 3.96/4.00

Relevant Coursework: Data Visualization, Applied Statistics and Experimental Design*, Software Design for Data Science*, Data Management University of Mumbai, Mumbai, India August 2016 – August 2020 Bachelor of Engineering in Computer Engineering GPA:9.57/10.00 Relevant Coursework: Analysis of Algorithms, Database Management Systems, Advanced Algorithms, Business Communication & Ethics, Software Engineering, Data Warehouse & Mining, Machine Learning, Big Data Analytics, Management Information Systems, Natural Language Processing, Project Management, Human-Machine Interaction

Certifications

Statistics and Machine Learning Specialization with R by John Hopkins University June 2020 Business Analytics Specialization by the University of Pennsylvania March 2020 Neo4j Professional Certification March 2019

Technical Skills

Programming Languages : Python, SQL, R, Java, C, C++, NoSQL, MongoDB, PHP, HTML5, CSS3, Django, JSON Tools/Libraries : NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, Git, Jira, NLTK, MS-Word, MS-Excel Technologies/Framework : SSMS, SSIS, Tableau, Git, MS Power BI, NetBeans, Android Studio, Firebase, Azure ML Studio, TensorFlow, PyTorch Work Experience

Data Analyst Intern – Chenoa Information Services Pvt. Ltd., Mumbai, India June 2019 – September 2019

• Coordinated the Reports Module of the New York State of Health Dashboard comprising several data visualizations to be used for sales estimate

• Outpaced quality assurance testing by optimizing pre-existing SQL Queries thereby reduced testing time by 42%

• Assisted project managers and developers across the complete spectrum of the database management system by handling multiple priorities simultaneously such as developing automation scripts, managing and updating databases and data migration Technical Projects

Data Scientist – Text Classification on Movie Reviews, Seattle, WA Nov 2020

• Classified movie reviews from Rotten Tomatoes website as ‘fresh’ or ‘rotten’ and implemented the Naïve Bayes Classification algorithm from scratch by creating and synthesizing Bag-of-Words (BOW’s).

• Tuned the model’s hyperparameters using K-Fold Cross Validation to attain an accuracy of 65% based on the log-likelihoods. Social Data Scientist – Analysis on World Values Survey (WVS 2013-2014), Seattle, WA Oct 2020

• Explored people's values and beliefs on socio-political issues using WVS data containing 100+ features.

• Evaluated the target features like abortion justification and life satisfaction by comparing the performances of various Machine Learning algorithms like k-NN, SVM and Logistic Regression.

• Computed the social science results using a self-built K-Fold Cross Validation functions and obtained an accuracy of 74%. Data Scientist- Few Shot Learning for Mobility Applications, Mumbai, India Apr 2020

• Examined research papers related to location prediction and implemented meta-learning to train models on small datasets to study and simulate the data-insufficiency problem, further comparing results with larger datasets

• Worked on improving results of future location predictions with geolocation datasets using supervised Machine Learning algorithms

• Performed comparison between k-means and density-based clustering algorithms like DBSCAN, HDBSCAN to group locations, finding the best suited algorithm and predicted locations with an accuracy of 72% Team Lead - EyeRis: Device for the Visually Impaired, Mumbai, India Apr 2019

• Developed a device to aid the visually impaired using Raspberry Pie 3B model and Deep Learning taking real-time video streams as input

• Combined SSD and MobileNet for Object Detection and used ResNet-34 for Facial Recognition along with ESpeakNG for text to speech conversion

• Secured 1st position among 50 teams in an Intercollege Mentorship Program leading a team of four Research Assistant- Machine Learning for Loan Credibility Prediction, Mumbai, India Mar 2019

• Preprocessed a 30 variable dataset and predicted loan credibility using Regression, Random Forest and SVM algorithms

• Secured 1st place in Inter-College Paper Presentation for a review paper delineating a comparative study on the algorithmic results Web Application Developer- Web Application using Django ‘DJ Board’, Mumbai, India Mar 2018

• Designed a college discussion forum using Models API, Bootstrap 4, Django Template Engine and Django Admin Interface to get a better understanding of user interfaces and web apps using Python Volunteer/ Leadership Position

Creative Head of the college Association of Computing Machinery (ACM) Committee

• Designed posters and social media posts on the events, magazine editor for the year 2017-18 for college ACM Student Chapter Events Coordinator

• Managed event attendee management, coordination of food, on-site logistics, event timelines, budget and developed post-event surveys for feedback assisting more than 200 participants for events like Hackathons, Workshops and Internship Fairs College Anchor

• Anchored several college events including Convocation, Guest Lectures and College festival

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