Jaskirat Singh

WORK HISTORY

EDUCATION

ABOUT JASKIRAT SINGH

Data Analyst 2+ years of experience at providing data-driven and analytics-oriented solutions to challenging business problems. Currently pursuing my Master’s in Business Analytics and Project Management from the University of Connecticut.My experience as a leader in various projects along with my volunteer experience with cultural, charitable and student organizations have helped me in leading and collaborating with different individuals while working as a team.Languages and Tools: Python (Pandas, NumPy, Matplotlib, SciPy, scikit-learn, PySpark, Seaborn, TensorFlow), R (dplyr, ggplot2, caret), JMP, SAS, SAS Miner, AWS, GCP, Google Analytics, Tableau, Power BI, Jupyter, Databricks, Dbeaver, Git, Athena, Apache Spark, Pig, Redshift, Advanced MS Excel (VBA, V/H-Lookup, pivot tables, macros), Crystal Ball, JAVA, C++, C, JavaScript, MS Visio, MS Project, MS Office, MATLABDatabases: Oracle SQL, MySQL, PL/SQL, Hadoop, Hive, SnowflakeAnalytical Techniques: Deep Learning, Machine Learning (ML), Neural Networks, Predictive Modeling, Statistics, Probabilities, Regression (Linear, Logistic, Generalized), Data Mining, KNN, PCA, SMOTE, Decision Trees, Bootstrap Forest, Hypothesis Testing, Time-Series Forecasting, Text Mining, Dimension Reduction, Recommender Systems, Naive Bayes, ARIMA, Cost Optimization, Business Decision Modeling. Natural Language Processing (NLP), Customer Analytics, Risk Analysis, Survival Analysis, Association Analysis, Cluster Analysis, Discriminant Analysis, AdaBoost, XG Boost, CatBoost, Hyper-Parameter Tuning, Feature Engineering, Exploratory Data Analysis (EDA), Hypothesis Testing, Probability Distributions, Data Structures, Data Cleaning, Data Visualization, AgileACADEMIC PROJECTS• Survival Analysis - Atlas Air Worldwide Holdings: Identified reasons behind high levels of pilot attrition using survival analysis and presented business recommendations to decrease the attrition rate by 56%. • Neural Networks: Forecasted energy demand with 87% accuracy by using Deep Learning techniques and provided actionable business insight to improve energy efficiency in the state grid. • Hotel Reservation Booking and Database Management: Designed a hotel management database using ERD and created tables in SQL and proposed actionable business recommendations leading to a 38% increase in process efficiency.• Stock Portfolio Optimization: Optimized stock portfolios by minimizing risk and maximizing returns leading to an investment basket relatively immune from external events providing excellent returns.