Graduate student of Master of Science in Information Systems at Northeastern University with a concentration towards Database advancements, Machine Learning, Smartphone application development, Cloud Computing and Software Engineering.
IT business professional with 3 years of experience, skilled in Agile Methodologies, Scrum Development processes and many other technical, product, ethical and business courses of information technology. Experience in working with cross-functional teams demonstrating excellent project management, leadership, and interpersonal skills.
The rich-in-dynamic learning has motivated me to learn more about the ways business interact with technology. I now aim to explore new horizons and learn the nuances of development of information projects for collecting, managing, analyzing and acting on business data.
Technical Expertise:
Languages: Python, SQL, R, Swift, Java, COBOL, JCL, ASM, CICS
Libraries/Packages: NumPy, Pandas, scikit-learn, TensorFlow, NLTK, Keras, Matplotlib, ggplot2, Seaborn, BeautifulSoup
Analytics: Data Mining, Machine Learning, Data Visualization, Statistical & Quantitative Analysis, Data Wrangling
ML Algorithms: Regression, Clustering, PCA, Forecasting, Classification, EDA, Deep Learning, Feature Selection
Databases: MySQL, DB2, Oracle, Firebase, Core Data, VSAM
Frameworks/IDE: Google Colab, Anaconda, Trifacta, Jupyter notebook, IBM Watson Studio, MySQL Workbench, Tableau, Orange,
R-Studio, XCode, NetBeans, MS Office, MS Excel Advanced (Pivot, Lookups)
Key Strengths:
• Agile Project Management • Software Development and Maintainance • IT Service Management
• Relationship Building • Customer Interaction • Problem-Solving • Organization Skills
• Communication Skills
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Experience
BLUE CROSS BLUE SHIELD OF RHODE ISLAND, PROVIDENCE, RI
Data Analytics Intern
• Created integrated Sales Pursuit DB to track the Medicare population (Blue and Non-Blue) from leads to campaigns to outcome in MySQL by using Store Procedure.
• Designed interactive dashboards and preliminary reports for capturing trends like customer segmentation, sales conversion using Tableau and Pivot Tables.
• Interacted with business owner, elicited requirements analyzed and interpreted data, reported results and provided recommendations.
DXC TECHNOLOGY, INDORE, INDIA
Data Analyst
• Exceptional record of delivering cost-effective, high-performance technology solutions to meet challenging business demands.
• Initiated and managed a critical project, in which after implementation of the changes, the execution time of the production cycle got reduced by 25% and received appreciation in client’s townhall meeting.
• Ability to analyze high volume data against business requirements to identify deliverable, gaps and inconsistencies.
• Performed daily monitoring of data loads, automated production reports.
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Projects
1. ABNORMALITY DETECTION ON MURA DATASET [PYTHON,
CONVOLUTIONAL NEURAL NETWORK, JUPYTER NOTEBOOK]
• Pre-processed 40,561 X-ray images by adjusting brightness,
contrast, and rotations.
• Built number of CNN models by adding layers with changing
hyper-parameters to get better Image classification.
• Trained fine-tuned model on whole training data and evaluated
performance on test data using the Kappa score.
2. WEB SCRAPPING AND SENTIMENT ANALYSIS OF YELP
RESTAURANT REVIEWS [PYTHON, NAÏVE BAYES CLASSIFIER,
SPYDER NOTEBOOK]
• Scraped almost 10,000 reviews of Sam LaGrassa’s restaurant
from Yelp using Scrappy in Python.
• Performed sentimental analysis over the reviews and figured out
positive/negative lexicon for specific products.
• Stemmed lexicon and reviews using NLTK to create labels and
Implemented classification using Naïve Bayes Classifier.
3. PREDICTIVE MODELING FOR FOOTBALL PLAYERS [R,
REGRESSION, DECISION TREE, RANDOM FOREST, XGBOOST, R-
STUDIO]
• Developed predictive models to calculate the value for players
based on the given variable of FIFA 18 and 19 datasets.
• Identified the strongest positive correlation between the value of
an individual player and predictor variables.
• Compared models and discovered that random forest and
XGBoost have the least root mean square values, hence it is a
better technique for predicting player values.
4. PAYROLL SYSTEM FOR AN ORGANIZATION [MYSQL,
NORMALIZATION, PROCEDURES, INDEXING, TRIGGERS,
PRIVILEGES]
• Developed a data model for Payroll management system using
Workbench and the DDL script through reverse engineering.
• Fabricated triggers, procedures, functions using joins to present
different functionalities and to ensure data integrity.
• Generated monthly salary of all the employees after all the
necessary deductions based on benefits and taxes provided.