Data Scientist Resume
Norfolk, VA
SUMMARY:
6 years of experience working on data analytics and 2+ years of experience as a data scientist. Business - minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. An expert analyst with retail industry experience besides extensive military analyzing/management background as leading strategic projects in national and multinational deployments.
TECHNICAL SKILLS:
Hard Skills: Data Analysis, Programming, Machine Learning, Modeling, Regression, Classification, NLP, ProbablityStatistics, Data Visualization, Quantitative Analysis, A/B Testing.
Tools: Skills Python, SQL, Bash Shell Scripting, Jupyter, Pandas, Numpy, SciPy, Scikit-Learn, Keras, Spark, AWSSeaborn, Matplotlib, Statsmodel, NLTK, Spacy, Gensim, MS Office, Git/Github.
Soft Skills: Communication, Collaboration, Creative Thinking, Critical Thinking, Problem Solving, Active Learning.
PROFESSIONAL EXPERIENCE:
Confidential, Norfolk, VA
Data Scientist
Responsibilities:
- Implemented machine learning algorithms with using Python and SQL as a member of data science team to provide industrial solutions.
- Developed a Customer Segmentation (Clustering) model in order to improve profitability through more effective marketing and serve better to valuable customers.
- Results have been used to redefine the product marketing strategy and specify the location of the company’s new store in Hampton Roads/VA.
- Developed a regression model that allows to predict the profit of “bstock.com” auctions.
- Model has increased the company’s auction profits up to 9%.
Data Analyst
Confidential
Responsibilities:
- Created statistical reports, predictive models, data visualizations & metrics to monitor and analyze business performance.
- Used quantitative data, gathered to develop an understanding of customer behavior, demographics and lifecycle. Presented data that helped guide decisions of the company, which has since raised $1M in seed funding.
Confidential, Virginia Beach, VA
Data Science Consultant
Responsibilities:
- Conducted predictive analytics and developed models to business professionals, ranging from companies to sole professionals.
- Gathered and analyzed information, designed and coded data process and built predictive analytical models, formulate and test hypotheses, contributed to the development and communication of recommendations. Built and improved reporting that help the stakeholders understand the performance of their business segment and identify action points.
Confidential
Data Analyst (Operations)
Responsibilities:
- Analyzed the burden of shouldering the responsibilities of International Airport (Hamid Karzai) in Afghanistan.
- Gathered data, cleaned and checked the quality of data. Build a linear model in order to specify the optimum resources for any future operation which would be carried out in and out of the Airport. Saved apx 11 million dollars with this analysis.
- Conducted statistical analysis for operations research and assisted with communication to senior management in the utilization of these analyses.
Confidential
Data Analyst
Responsibilities:
- Identified, planned, analyzed and implemented strategic and operational analysis such as “Improving al effectiveness of higher military institutions” and “transformation of military bases” as data analyst.
- Prepared and presented routine and on-demand data-driven reports and visualizations to decision makers to overcome complicated problems and generate insightful reports.
- Handled multiple tasks and responsibilities independently as well as proactive team member/leader.