Ruchil Barya

adm3f6@r.postjobfree.com 408-***-**** *701 S George Mason Dr, Falls Church, VA 22041 LinkedIn Github Detail-oriented professional with 5+ years’ experience in defining business requirements, extracting and evaluating critical information, identifying areas of improvement and proposing innovative solutions. Demonstrated expertise in analyzing structured and unstructured data, designing end-to-end data science pipelines and generating strategic forecasts to support business decisions. EDUCATION AND HONORS

Masters in Analytics (Computational and Applied Mathematics) Harrisburg, PA Harrisburg University Institute of Science and Technology (CGPA: 4.0/4.0) Jan 2020-Aug 2021 Bachelor of Engineering, Electronics & Communication Engineering Bhopal, India Barkatullah University Institute of Technology (CGPA: 8.68/10.0) Aug 2009-Jun 2013 SKILLS

Programming Languages: R, SQL, Python (Pandas, Scikit-learn, NumPy, Matplotlib, Tensorflow, Keras)

Tools: Tableau, MS Power BI, MS Excel, Google Data Studio, MS SQL Server

Core Competencies: Predictive Modeling, Machine Learning (Clustering, Classification), Natural Language Processing, Neural Networks, Deep Learning, Time Series Analysis, Big Data Analytics (Hadoop, Spark), Hypothesis Testing, Experimental Design, Optimization, Research Methodology, Qualitative and Quantitative Analysis, XGBoost, Data Visualization PROFESSIONAL EXPERIENCE

ASCII LABS Baltimore, MD

Data Science Intern Jan 2021- May 2021

Assessed client needs and devised customized solutions by developing optimal machine learning models. Transformed real-time business challenges into a structured analytics use case. Leveraged data visualization and presentation skills to communicate useful findings. Key Accomplishment:

Prepared and delivered a comprehensive proposal to NARA to improve customer experience by generating insightful recommendations using AWS.

CAPGEMINI Bangalore, India

Business Intelligence Consultant-SAP (Germany) Jun 2018 -May 2019 Spearheaded the end-to-end management of +20K SAP accounts for over 20 systems based on SAP HANA while identifying and addressing complex issues. Ensured the seamless execution of existing projects through the creation of dynamic privileges, enabling security. Drove overall business volume growth through sourcing and capturing new business development opportunities. Key Accomplishments:

Successfully decreased manual efforts by 20% and streamlined business operation via providing a Proof of Concept. TATA CONSULTANCY SERVICES Bangalore, India

Analyst-SAP (Germany) Mar 2014 -May 2018

Managed data extraction, transformation, and loading (ETL) from variety of data sources to SAP BI (data warehousing) system. Maintained tables and created reports using SQL and implemented virtual authorization practices to ensure data security. Automated the development of testing scenarios through driving component-based testing. Embedded Agile Methodology into account operations. Key Accomplishments:

Slashed incident requests volume by 70% by process improvements and removing redundant business scenarios.

Earned positive feedback and recognition for demonstrating dedication and performance excellence in client engagement. PROJECTS

Covid-19 Cases and Deaths Forecasting R, Tseries, Zoo, Nlme, Forecast, ARIMA, VAR, Holt Winter’s

Predicted number of COVID-19 cases and deaths in India and USA using Time series analysis.

Estimated future trends of cases, fatalities, and association between the two by predictive modeling. Understanding mental health by analyzing ‘The New York Times’ Articles R, Python, Pandas, NLTK, FactoMineR

Performed data cleaning and -analyzed +12K articles to acquire sound understanding of mental health over decades.

Leveraged sentiment analysis to evaluate tone and feature extraction to understand multi-layered insights using NLP. Instakart Market Basket Analysis Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn

Executed exploratory data analysis on a large dataset along with customer segmentation to draw useful trends and patterns Facial Keypoints Detection by Convolution Neural Network Python, Pandas, NumPy, Tensorflow, Keras

Utilized innovative deep learning techniques to develop a cutting-edge model for discovering the coordinates of eyes, nose etc.

Substantially optimized the model capabilities through employing data augmentation. Prediction of Absenteeism at Work Python, Scikit-learn, Pandas, Feature selection, Dimension Reduction, Validation

Forecasted absenteeism hours at work by a wide range of machine learning models, such as kNN, SVM, Naïve Bayes, Random Forest to maximize accuracy, performed dimensionality reduction reduce the number of features Survival Prediction after Heart Attack R, Dplyr, Logistic Regression, Statistical Analysis

Coordinated the development of an efficient model to predict the chances of survival after a heart attack.

Performed Assumptions testing, data screening, statistical inference, outlier detection to ensure data integrity.

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