Masters in Computer Science from California State University Fullerton specializing in Machine Intelligence. Aspiring developer and immense interest towards Data Science, Machine Learning, Data Analytics with major focus on statistical data analysis, data visualization and data exploration. 2+ years of experience in deriving insights from data and creating dashboards. Solid understanding of Machine learning and quantitative analysis. Seeking opportunities where I can apply my analytical and problem-solving skills with challenging and learning opportunities in an organization of repute. Research work on Edge Computing in 5G, NLP in Business and Deep Probe technology explaining concepts of Tensor Flow, Attention mechanisms and Word Embeddings. Hands on experience using Python, SQL for analyzing complex data sets, Tableau, Excel and Power BI.
Skills
• Programming Languages: Python, Java, HTML, CSS
• Databases: Microsoft SQL server, MySQL, PostgreSQL
• Visualization & Virtualization: Tableau, Power BI, AWS, EC2, Sagemaker, S3, Docker, Linux
• Machine Learning: NLP, Logistic Regression, Decision Trees, Random Forest, K-means Clustering
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Experience
Data Analyst, Cognos IT Solutions
Hyderabad, India
• Worked on complex SQL queries for conducting analysis, preparing reports, and building dashboards using Tableau
• Performed data preprocessing for handling missing and duplicate values
• Evaluated data by applying machine learning techniques using Python
• Summarized data utilizing Pivot tables, VLOOKUPs and generated reports in Excel for weekly meetings
Software Engineer, Defense Research Development Laboratory (DRDL)
Hyderabad, India
• Responsible for programming, supporting, and monitoring systems administration and agile development teams
• Involved in designing use cases, class and interaction diagrams, various phases of SDLC and updating web applications in Python
• Involved in managing technical issues for assigned projects to determine user needs
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Projects
Resume Analyzer Web Application using Natural Language Processing
• Built Django Resume Analyzer application using NLP techniques to filter top 10 candidates from a large pool of resumes
• Web scrapped hundreds of resumes in a PDF format from LinkedIn using Selenium Web Driver
• Utilized spaCy’s PhraseMatcher feature for pattern matching and NLTK for cleaning the text
Movie Similarities with Plot Summaries
• Extracted data from IMDb and applied skills from Unsupervised learning in Python by Tokenizing and Stemming
• Created TF-IDF Vectorizer for recognizing unique words, imported K-Means, and created clusters with scikit-learn
• Visualized the results by creating similarity distance and plotting dendrograms with Matplotlib and Seaborn
Chatbot – A Conversational Agent
• Accomplished project based on Deep Learning technique of Long Short-Term Memory (LSTM) maintaining long conversations between human and machine, focusing on Sentiment Analysis and integrated NLP methods
• Utilized Nvidia powered Tesla K80 GPUs for project to improve model accuracy
• Built application in Python using TensorFlow and tested performance by BLEU Score which tells accuracy in conversation of a chatbot