aaphsaarah rahman
Solution Analyst at Deloitte
solution analyst deloitte
data enthusiast • keen finding insight , analyzing data , creating rich visualization • machine learning expert 1 year experience supervised , unsupervised , deep learning model scikit-learn statsmodels • expert predictive analytics , time-series analysis , natural language processing , image processing • competent python , r , matlab , sql • proficient statistical modeling , classification , regression , clustering , feature selection , dimensionality reduction • solid background statistic , probability , linear algebra , algorithm , categorical & censored data analysis , machine learning , unsupervised learning , data management , big data , pharmaceutical analysis , causal inference , genetics & genomics , biomedical imaging , experimental design & analysis , natural language processing ( nlp ) github profile : github.com/aaphsaarah website : aaphsaarah.github.io/ willingness relocate : yes , anywhere usa feel free reach want collaborate data science project , need guidance university application process need career guidance . happy help !
Deloitte
https://www.linkedin.com/company/deloitte
Solution Analyst
Lake Mary, Florida, United States
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Weill Cornell Medicine
https://www.linkedin.com/company/weillcornellmedicine
Research Assistant
New York, New York, United States
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Weill Cornell Medicine
https://www.linkedin.com/company/weillcornellmedicine
Capstone Project Lead Data Analyst
● Analyzing the Risk Factors for Hypertension in a Low-Income Urban Population in Pune, India
● Managed a team of 2. Sketched the roadmap and weekly targets to meet project goals and
objectives by setting realistic timelines
● Performed various statistical modeling, hypothesis test, univariate and multivariate analysis, and different extensive machine learning algorithms to find the prevalence of hypertension, to find a correlation between hypertension and potential risk factors, to make the best predictive model based on the datasets
New York, New York, United States
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Sir John Wilson School
Senior Science Faculty
● Supervised 120+ students in educating, guiding them, and conducting science field trips
● Designed, developed a better curriculum for grades 6 and 7 for the whole year, and delivered quality lesson plans and curricula that adhere to school guidelines
United city, satarkul campus
Bangladesh Digital Education Research Limited
https://www.linkedin.com/company/bangladesh-digital-education-research-limited
Math Coordinator
● Resided as an academic content creator and curriculum developer
● Developed the entire Mathematics curriculum and Innovation Development Program for Grade 8-10, where 130+ students are currently enrolled
● Created creative online study materials
Gulshan 1, Dhaka, Bangladesh
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Grameenphone Ltd
https://www.linkedin.com/company/grameenphone-ltd
Business and Research Analyst, Intern
● Performed in-depth secondary research in ISP Industry and formulated a report upon it under the Business Intelligence department that helped guide the decision of the company
● Collected quantitative data (features) from the popular apps in excel to develop an understanding of customer behavior, demographics, and lifecycle then performed comparative analysis on the local and international apps and produced a visual presentation on it to help guide the decision of the company
● Performed a case study on the video entertainment app industry, compared each app, and made a business model on how to improve (GP local app) Bioscope further from the rest
● Support the analytic teams by explaining unanticipated variations from expected sales
performance and behaviors and providing recommendations to sales management
● Present detailed reports about the meaning of gathered data to members of data analytics and help them identify scenarios utilizing modifications in the data
GP house, Dhaka, Bangladesh
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Biostatistics and Data Science
Master of Science - MS
Cornell University
https://www.linkedin.com/school/cornell-university/
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Art and Practice of Leadership
Bangladesh Youth Leadership Center
https://www.linkedin.com/school/bylcx/
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Electrical and Electronics Engineering 
Bachelor of Science - BS
North South University
https://www.linkedin.com/school/north-south-university/
Major in Computer Systems Networking and Telecommunications
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PG-A levels
Scholastica
https://www.linkedin.com/school/scholastica-bd/
Conducted under Cambridge International Examination (CIE) Board
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A novel Braille pad with dual text-to-Braille and Braille-to-text capabilities with an integrated LCD,
IEEE Xplore
S. Sultana, A. Rahman, F. H. Chowdhury, and H. U. Zaman, "A novel Braille pad with dual text-to-Braille and Braille-to-text capabilities with an integrated LCD," 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India, 2017. Publisher: IEEE Xplore
https://ieeexplore.ieee.org/document/8342559
Best Paper Award
IEEE ICICICT 2017
Best Paper Award, International Conference on Intelligent Computing, Instrumentation and Control Technologies (IEEE ICICICT2017), Kerala, India, 6-7 July, 2017.
Understanding the Risk Factors for Hypertension in a Low-Income Urban Population in Pune, India
Hypertension (HTN) has been reported in alarming numbers in low-income countries such as India, with more than 1 in 3 adults affected in some areas. Much of this burden has been attributed to the epidemiologic transition occurring in India, with urbanization and increasing obesity. However, high rates of hypertension occur even in populations with lower rates of traditional risk factors and in rural areas. Therefore, there is a need to determine risk factors specific to low-income populations. Hence, the use of data mining algorithms (Logistic Regression, Random Forrest model without
tuning parameter but with the standard number of trees. Boosted tree model with tuning (adjusting learning rates and trees), Stochastic gradient boosting(auto-adjusted tuning parameter),
Support Vector Machine, and Naïve Bayes ) could be useful in predicting Hypertension. Therefore this research aims to predict whether a person has a higher prevalence of hypertension or not based on their Sociodemographic information, Healthcare access, Precious hypertension history, Food security, and Nutrition, Mental health (using Kessler 6 score), Physical Activity (METS score), Substance abuse (Tobacco, alcohol, others), Measurements (weight, height, waist, BP, BMI), Illness, BSDS, Medicine Adherence score (forgetfulness, frequency of meds), Women’s healthcare access, Preparedness (awareness program).
Heart Disease Prediction
Performed predictive analytics in R by building a classifier to predict whether a person has
cardiovascular disease based on their medical test, age, and gender and to identify which
tests are more reliable in determining cardiovascular disease.
https://aaphsaarah.github.io/heart_disease.html
Breast Cosmetic Outcomes of breast-conserving surgery(BCS) for multiple ipsilateral breast cancer (MIBC) Patients
Performed Data Analysis on Breast Cancer Study. Performed various hypothesis tests and data visualizations to observe the trend in patients assessed cosmesis scores over the follow-up time, the similarity between patients' and doctors' views in the surgery, a trend in the patients' satisfaction, physical well-being, and radiation effect throughout follow up.
Happy Valley Meat website
Built a website using the Shiny app [R] to showcase some environmental insights on the beef industry. 

The website was dynamic, simple, and had good visualization so that any non-technical audience can understand the interpretation. It was much appreciated by the client for its simplicity
Best Paper Award on ICICICT and IEEE Publication 2017
International Conference on intelligent Computing, Instrumentation and Control Technologies Organization
The Daily Star Award
British Council
The Duke of Edinburgh -Silver
The Duke of Edinburgh's Award
The Duke of Edinburgh- Bronze
The Duke of Edinburgh's Award
https://www.linkedin.com/in/anduo-lyu-4b4938172
Anduo Lyu
Programming Analyst at Eisai US
New York City Metropolitan Area
https://www.linkedin.com/in/ziyin-zhang-835b3714a
Ziyin Zhang
MS in Biostatistics and Data Science at Weill Cornell Medicine
New York, NY
https://www.linkedin.com/in/karina-camarena-839561a5
Karina Camarena
Healthcare Data Analyst
Boston, MA
https://www.linkedin.com/in/davidthomsonmohler
David Mohler
Analyst at Marwood Group
New York, NY
https://www.linkedin.com/in/itzel-nino
Itzel Nino
Clinical Research Specialist at Weill Cornell Medicine HemOnc Department | Graduate Student in Health Informatics, Weill Cornell Graduate School of Medical Sciences
New York City Metropolitan Area
https://www.linkedin.com/in/nathanael-george-9aa1a61b6
Nathanael George
Graduate Student at Weill Cornell
New York, NY
https://www.linkedin.com/in/courtney-baird-89a1543a
Courtney Baird
Doctoral Student at Brown University School of Public Health
New York, NY
https://www.linkedin.com/in/techna-cadet-1a61a2115
Techna Cadet
Research Data Manager at Columbia University Department of Psychiatry and New York State Psychiatric Institute
United States
https://www.linkedin.com/in/aishwarya-gandhe-2752a87b
Aishwarya Gandhe
Health Informaticist | Dental Surgeon
New York, NY
https://www.linkedin.com/in/spencerkrichevsky
Spencer Krichevsky
Biomedical Informatics PhD Student at Stony Brook University
Pathology Informatics - Computer Vision - Medical Imaging - Deep Learning
United States
https://www.linkedin.com/in/k-nazmoon-nabi-3022591a4
K. Nazmoon Nabi
Doctoral Candidate at Harvard T.H. Chan School of Public Health | Assistant Professor at Bangladesh University of Engineering and Technology | Adjunct Faculty at IUB | Adjunct Faculty at BRAC | Associate Editor
Boston, MA
https://au.linkedin.com/in/khan-al-hamid
Khan Al Hamid
Consultant at Deloitte Australia | Strategy & Intelligent Automation
Greater Sydney Area
https://www.linkedin.com/in/arindam-roychoudhury-40457421
Arindam RoyChoudhury
Associate Professor at Joan & Sanford I. Weill Medical College of Cornell University
New York City Metropolitan Area
https://www.linkedin.com/in/gaeungradcareer
Gaeun Seo, PhD, GCDF, CCSP
Senior Associate Director, Graduate Student Career Development at Princeton University
Princeton, NJ
https://www.linkedin.com/in/sarah-nemetalla-mph-881706ab
Sarah Nemetalla, MPH
Master of Public Health - Project Coordinator at Weill Cornell Medicine
New York City Metropolitan Area
https://www.linkedin.com/in/robert-popdan-mba-18294a117
Robert Popdan, MBA
Engagement Manager at Marwood Group
New York, NY
https://www.linkedin.com/in/edaleysmith
E. Daley Smith
Healthcare Policy Analyst at Marwood Group
Palo Alto, CA
https://www.linkedin.com/in/chibueze-oguejiofor-81083195
Chibueze Oguejiofor
Ph.D. Student | Incoming NCAR Graduate Visitor (ASP).
Notre Dame, IN
https://www.linkedin.com/in/maxime-tchibozo
Maxime Tchibozo
Machine Learning Engineer at BNP Paribas | Researcher at Columbia University
New York, NY
https://www.linkedin.com/in/mg724
Ming(Mia) G.
PWM Quant Strats at Goldman Sachs
New York, NY
Some memories are to be treasured 😊Although it's been a while that I joined Google, still these bundle of joy always makes me feel happy and proud.…
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Fintech is everywhere – 5 business models I’m excited about in Emerging Markets:1/ Brex / Ramp for X- Cash expensing lead to leakage & fraud- No…
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“How lucky am I to have something that makes saying goodbye so hard.” -  A.A. Milne, Winnie the PoohSo bittersweet to say that today is my last day…
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Cornell Technology Business Network
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WebExpart  Web Solution
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Trading knowledge ( Stock Market )
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Ivy League Jobs and Recruiting: Brown Columbia Cornell Dartmouth Harvard Princeton Penn Yale Wharton
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Alumni of Weill Cornell Department of Population Health Sciences
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Scholastica Alumni Network
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Deloitte US
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Google Analytics (UA, GA4)
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Weill Cornell Department of Healthcare Policy and Research-Class of 2019
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Scholastica Alumni Professional Network
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Cornell University Alumni Network
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Deloitte Employees and Alumni
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