Mab Alam

Twitter: @DataEnthus
Rpubs: https://rpubs.com/MabA
Email: mab.datasc[at]gmail.com

SUMMARY

I am a freelance data scientist* with 8+ years of experience in data science, analytics, research and publication; passionate about machine learning and developing algorithms for causal inference, statistical modeling, data wrangling, visualization, getting business insights and communication. I am particularly interested in finding patterns in data, getting actionable insights and develop recommendations based on data analysis.

EDUCATION AND EXPERIENCE

I am an economist with a PhD and postdoctoral experiences
Academically trained in all aspects of data science, statistical modeling and predictive analytics
I have few publications in peer-reviewed international journals.
Traveled extensively for professional work and gave presentations in conferences and to different stakeholders.

GENERAL COMPETENCY

Strong problem solving skills with an emphasis on product development.
Work with all stakeholders throughout the organization to identify opportunities for leveraging data to get insights and find solutions.
Mine and analyze data from databases to drive optimization, marketing techniques and business strategies.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Deep understanding of advanced statistical techniques and concepts (EDA, regression, time series, forecasting).
Professional written and verbal communication skills.
Curious about new technologies, analytical techniques and methodology.
Managed multiple projects efficiently

TECHNICAL PROFICIENCY IN DATA SCIENCE & BUSINESS ANALYTICS

Time-series data analysis and modeling: ARIMA, ARMA, panel data models
Machine Learning algorithms: Decision Tree, Random Forest, CART, kNN, Neural Network, Support Vector Machine, clustering, Bayesian regression
Business Intelligence: descriptive, prescriptive and predictive analysis
Dynamic modeling and optimization, system dynamics modeling for scenario development (SIMILE, STELLA),
Communication: Public presentation, communication for technical and non-technical audiences
Data visualization and reporting with Power BI, SSRS, ggplot2
Technical writing: writing for technical and non-technical audiences, and leading development of project proposals
Geospatial Analysis: ArcGIS with raster datasets
Tools: R programming, SPSS, Microsoft Azure
Text analytics, sentiment analysis, TweetR, text mining, NLP
Provide training on data analytics, machine learning algorithms, statistical modeling
Research design for specific program/project oriented data collection

GENERAL COMPUTER LITERACY

Proficient user of Office products (word processors, spreadsheets, PPT presentations)
Conversant in online collaborative tools (e.g. Google File Stream, One Drive)
Understand database management and query language (SQL, T-SQL)

PRESENTATION & COMMUNICATION

Ability to present and communicate results and reports with compelling charts and figures
Take a “storytelling with data” approach
Proficient and experienced in technical writing & proposal development

PERSONAL INFO

Current Residence: Washington DC Metro area
US residence status: Permanent Resident (Green Card)
Languages spoken: English (full professional proficiency), French (Basic conversational), Japanese (intermediate conversational)

Mab Alam

*Get in touch for remote or contract data science, machine learning and BI projects: mab.datasc[at]gmail.com or DM: @DataEnthus