Student

Sakshi Sharma

551-***-**** **** Tulane Dr, Hyattsville, MD 20783 ********@***.*** LinkedIn GitHub EDUCATION

University of Maryland, Robert H. Smith School of Business College Park, MD, USA Master of Science in Information Systems December 2020

• Big data and AI, Data Mining, Data Models and Decisions, Database Management Systems, Project Management in Dynamic Environments, Healthcare Information Systems, Managing Digital Business Markets, Strategic Information Technologies, Business Process Analysis. Stanford Online Online

Machine Learning September 2020

• Linear Regression, Logistic Regression, Regularization, Neural Networks, Machine Learning System Design, Support Vector Machines, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large Scale Machine Learning. Vellore Institute of Technology Vellore, TN, INDIA Bachelor of Technology, Electrical and Electronics Engineering May 2017

• Best Project Award under the Dean’s List in the Electrical and Electronics Department. TECHNICAL SKILLS

• Technologies: Applied Machine Learning, Deep Learning, Big Data, Critical Thinking, Data Analysis, Data Manipulation, Data Wrangling, Data Mining, Data Modelling, Data Visualization, Data Research, Risk Modeling, Linear Algebra, Multivariable Calculus, Probability and Statistics, Project Management.

• Tools: Python (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow, Keras, PyTorch), R, PostgreSQL, Hadoop, MapReduce, Tableau, Power BI, AWS, MATLAB, Octave, Bloomberg Terminal, C, GitHub, Project Libre, Lucid Chart, Microsoft Office tools.

WORK EXPERIENCE

Shea Olein Halethorpe, MD, USA

Student Data Analyst Jan 2020 – May 2020

• Capitalized data collection and analytics to increase KPI metrics like website users by 230% and transactions by 30%, decreasing the churn rate and improving the click through rate, leading to an increase of 8.6% in the monthly revenue of the firm.

• Technologies: Google Analytics and AdWords, Python, SQL. Southern Management Corporation Hyattsville, MD, USA Student Consultant Jan 2020 – May 2020

• Improved business processes with an overall efficiency of 95% by developing varying use cases, feasibility study with Agile and a Statement of Work (SOW) for an optimized project layout.

• Technologies: Mind-maps, UI-Prototyping, Quality Assurance, Context level diagrams, ER diagrams, Process flow diagrams. Vision Industries Jaipur, RJ, INDIA

Business Analyst Jan 2018 – April 2019

• Optimized data-integration projects that consolidated information from accounting, third-party market data and various other departments using SQL ensuring that project scope is controlled and requirements are met.

• Analyzed data and the financial market to find insights that lead to 8% year-on-year growth and three new product opportunities. Robert Bosch Jaipur, RJ, INDIA

Intern June 2016 – July 2016

• Spearheaded spreadsheet optimization to create a centralized data platform for data analysis through Excel advanced functions and Ishikawa Diagrams.

• Troubleshooted a business case of assembly line to provide solutions for faulty fuel-pumps leading to accidents. PROJECT EXPERIENCE

Academy Awards Analysis

• Programmed Random Forest Machine Learning model to predict chances of a nominee of winning an Academy Award visualized through a Confusion Matrix with an accuracy of 93%, on factors like race, sexual orientation, demographics, etc.

• Technologies: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn. Statistical and Predictive analysis – Airbnb data for Hawaii Market

• Achieved a Kaggle score of 92.8% with an XGBoost model conducting exploratory analysis to find factors like amenities and location that affect high booking rate of an Airbnb rental property and developed a business case for properties to invest in.

• Technologies: R, Tidyverse, Tidymodels, Skimr, Dplyr, Lubridate, Caret, Car, E1071, Plotly. Clothing Styles Analysis and Prediction

• Designed a design predicting framework which outputs the next trendy lines of clothing for given input of current popular clothing through object detection and Convolutional Generative Adversarial Network.

• Technologies: Python, Feed forward Neural Network, Convolutional Neural Network, Generative Adversarial Network, Autoencoders. Time Series Analysis of Loans

• Orchestrated time series forecasting models using ARIMA and Regression along with Anomaly Detection, STL decomposition and ACF/PCF plots to give recommendations to LendingClub about their loans per capita data by predicting future trends with 90% accuracy.

• Technologies: R, ggplot, Naïve, Drift, Moving Average, Anomalize, Tsibble.

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