Harsh M Email & Phone Number

Dependable data engineer/ Data analyst skilled in delivering data-driven solutions by developing systems, procedures, and practices that will increase efficiency, accuracy, and utility of internal data processing. Experienced team-player, adept at balancing a large portfolio of work and multi-tasking in a fast-paced environment. Initiative-taker, able to problem-solve and translate complex data through meaningful analysis that can be utilized by staff at all levels. Strong communicator with a focus on collaborative success through a professional and meticulous approach to project management.A computer science graduate student from VIT University currently pursuing my Masters in Data Science at Drexel University with a 3.90 GPA. I have nearly two years of experience working in the field of analytics which has honed and strengthened my skill set which ranges from Python, Hadoop, SQL, Microsoft Excel Suite, Machine Learning to Data Visualization and Optimization Tools. I love to explore how data influence business decisions and strongly believe that analytics not only helps us to make better decisions but drives us to implement those decisions in a better and faster way.Programming Languages: Python, R, SQLBig Data: SparkML,Hadoop,Hive, Scala, PySpark, SparkSQLDatabases:MongoDB,MySQL,MS SQL ServerVisualization & Analytics: Tableau, PowerBI, Advanced Excel, PowerPointData Science Tools: Pandas,Numpy,Matplotlib,ScikitLearn,NLTK,Seaborn,KerasProgramming Frameworks: Eclipse, Jupyter NotebookMachine Learning Skills: Classification, Regression, Clustering, Decision Tree, Random Forest, SVM, Reinforcement Learning, KNN, Naive Bayes, Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Time series analysis, Predictive and Prescriptive Data analysisSoft Skills: Analytical Thinking, Team-player, Strategic decision making, Problem solverActively seeking Full-time opportunities in the field of:• Data Science• Analytics (Business / IT / Data / Marketing )• Business Intelligence• Machine Learning/Deep Learning