PROFESSIONAL SUMMARY

• Data Scientist/Data Analyst/ professional with 10+ years of experience in health/insurance
• Data Scientist meet - up professionals group including R, Python
• Actuarial Profession of USA (SOA)
• Member and Scholar of Rotary International
• Data Science Certification with R and Python, Machine Learning Advanced certification - Simplilearn
• Deep Learning with TensorFlow- Simplilearn
• R Programming A-Z™: R for Data Science with Real Exercises: from Udemy
• Data Science and Machine Learning Bootcamp with R: from Udemy
• R Programming: Advanced Analytics in R for Data Science: from Udemy
• Business Analytics with Excel, Statistics Essentials for Data Science - from Simplilearn

TECHNICAL SKILLS

• Strong background in linear algebra, statistics, probability theory, health/insurance and econometrics
• Familiar with machine learning algorithms using R, Python/ STATA and writing an analytical story
• Proficient in SciPy, Pandas, NumPy, Scikit-Learn, TensorFlow, Amazon Web Services (AWS)
• Experienced in exploratory data analysis, scaling, feature engineering, visualizations and presentation
• Competent in feature extraction, cross validation, dimensionality reduction including PCA and optimization
• Ability in deriving insights from data using regression and converting its result into a complete report
• Excellent in decision tree, random forest, Naïve Base, support vector machine and k-nearest neighborhood
• Command in k-means clustering model design, testing and validation, Apriori association and AB testing
• Experienced of Natural Language Processing techniques, such as pre-processing (tokenization, part-of-speech tagging, parsing, stemming), TF-IDF, Word2Vec))
• Proficient in regularization, hyper parameter tuning, ensemble methods bagging and boosting
• Hands-on experience with neural networks and deep learning (ANN, CNN, RNN & LSTM)
• Expertise in health financing, epidemiology and knowledge of Medicare, Medicaid, Blue Cross/shield
• Efficient in, Excel, TreeAge, SAP Lumira, Power BI, SQL, Tableau, Jupyter Notebook & Beautiful Soup
• Fluent in English; Hindi and Nepali (native), Spanish(basic) and German(basic)
• Capable of working independently, efficiently, effectively, and decisively

PROFESSIONAL EXPERIENCE

Data Analyst

Confidential, Sacramento CA

Responsibilities:

• Prepared dashboard using SAP Lumira, imported various files and merged them together
• Completed predictive modeling on different customers’ segmentation and propensity score matching data
• Handled live data cleaning and standardized them for integration purposes
• Worked on large excel data set about customers, data from PRIZM and Clarity
• Carried out data analysis on sales and inventory requirements
• Prepared summary of sale, order requiremets and forecsting of sale
• Managed high quality customer services to meet company standard
• Conducted exploratory data analysis on deaths of women covered vs not covered by insurance
• Used machine learning algorithm to predict reduction in maternal mortality for women with insurance
• Prescribed more insurance coverage for women that increased 10% enrollment over a 4-month period

Data Analyst

Confidential

Responsibilities:

• Manipulated data extraction, cleaning, visualizing, classification and exploration for valuation purposes
• Analyzed data, modeled and visualized them for actuarial valuation of social insurance
• Assembled written inputs on literature reviews, concept notes & background papers on casualty insurance
• Performed cleaning, exploration, visualization of casualty insurance data using R
• Executed regression analysis to find root cause of excess claim and found significant variables
• Delivered presentation and disseminated briefs notes and incorporated the suggestions of stakeholders
• Furnished a study report with recommendation of equal amount of compensation to all insured

Data Analyst

Confidential

Responsibilities:

• Reviewed literature on social insurance models in Thailand, South Korea, India, Tunisia and Turkey
• Extracted data from various sources and cleaned, explored, classified them using R
• Classified data into segmentations and projected premium income claim payment.
• Carried out regression analysis for future forecasting of premium collection and claim
• Developed business procedure for premium collection, it’s investment and claim payment
• Conducted data visualization, presentations, disseminated highlights and stakeholders’ queries
• Accomplished, independently, a policy report on social insurance for the government of Nepal
• Government finally implemented after 5 year back
• Taught US life & health insurance, retirement benefits, Managed care, HMO, PPOs to undergraduate students
• Guided premium and claim forecasting methods using linear and logistic regression model
• Shared knowledge of domestic and international multi-payer vs universal insurance mechanism
• Supervised, evaluated & graded students’ assignments, presentation, project on health insurance
• Figured out existing insurance products and recommended riders to modify them
• Analyzed group and individual insurance premiums collection and their future forecasting using regression
• Developed computer-generated performance measurement report for more than 500 sales team
• Extracted premium, sum assure and claim data using SQL, visualized them using R and excel
• Analyzed large data set in excel and communicated to clients for update or clarification on the data set
• Reconciled data in excel, pivot table and processed for gratuity benefit calculation
• Forecast future life expectancy and estimated interest rate using long-term bond rate
• Generated gratuity and leave-encashment valuation report for employees
• Interpreted actuarial outputs, reports on valuation as per Acc23wounting Standard15, FASS 88 and GAAP

Pension Administrator

Confidential, Scotland UK

Responsibilities:

• Analyzed the large pensioner’s data in excel, generated their pension benefits
• Calculated early, normal and late retirement pensions benefit using complex mathematical formula
• Generated contribution-based retirement benefits including Additional Voluntary Contribution
• Performed excellent written and verbal communication to the pensioners
• Taught arithmetic, geometry and algebra from 8 to 12 grade students
• Prepared exam papers for internal and final exam and scored them for final grading
• Attended meeting for class performance, quarterly exam, final grading and parents counselling
• Supervised and evaluated students and graded their assignments