Sankalp Chauhan (He/him)
Currently living in
Wayne, New Jersey, USWork Preferences
In-PersonRemoteHybridOpen to roles
I graduated from Rensselaer Polytechnic Institute (RPI) as a summa cum laude majoring in operations research math and I have a lot of experience in data science. I interned at Simons Foundation and worked at BPK Tech.
Ideal Workplace Values
Friendly, Teamwork motivated, Inclusive
đź’ŞSkills and Strengths
My Neuro-exceptional talent
My neurodiversity gives me the advantage of being detail-oriented. I like to focus on the nitty-gritty of tasks that other people find tedious.
Technical Skills
Tableau
Reinforcement Learning
R programming
Data Recovery Software SQL Server Data Recovery
Top 5 Soft Skills
CollaborationActive ListeningWorking AutonomouslyReliabilityAttention to Detail🧠Inclusion Essentials
Accommodations
Send questions in advanceAccessible buildingInterviewer experienced with neurodiversityExtra timeWritten interview instructionsConcise instructions for processingUninterrupted work timeCounselingJob coachingSupport group for stressTherapy1:1s with the teamEnvironments I'm comfortable with
🚀Experience
Check out my work
| Working since Nov 2021 Nov 2021 Current | Data Analyst - BPK Tech Created a predictive model from scratch examining the data of rejected dental insurance claims to determine future rejection/acceptance using R and SQL • Connected SQL table data to Python to run random forest algorithm, created dummy data in Excel to determine model functionality in real-time • Divided the real data set into testing and training to determine model accuracy, achieved 99% predictive accuracy SASPythonMicrosoft SQL ServerRJulia |
| Working since Oct 2021 Oct 2021 Current | Internet Marketing Specialists - BPK Tech I looked at rejected dental claims data and found wherein the data corresponded with the rejected claim. Then I used a RandomForest machine learning model on the claims data and got 99% accuracy. Afterward, I created my dummy data in Microsoft Excel. Then I used my RandomForest model to predict the probability of each claim getting Rejected or Not Rejected. Microsoft SQL ServerMachine LearningR programmingPythonData Analysis |
| Worked for 7 months from Feb 2021 to Sep 2021 Feb 2021 Sep 2021 7 months | Data Analyst - Simons Foundation Coded a Q&A machine from scratch in Python and Natural Language Processing (NLP) to enhance user experience on the foundation’s FAQ page • Utilized Juypter Notebook and Google Colab to create a machine that increased user-friendliness and the ease of finding information about the foundation’s autism research • Created Tableau visualizations of autism research data after converting files from JSON to CSV format for easier use TableauPythonNLPJuypterGoogle Colab |
| Worked for 11 months from Oct 2020 to Aug 2021 Oct 2020 Aug 2021 11 months | Research Associate - University of Texas Rio Grande Valley • Analyzed change in computer sensor data using Inverse Reinforcement Learning (IRL) to develop algorithms to reconfigure and personalize web content to the user’s habits and activities • Co-authored “Inverse Reinforcement Learning: an application in distinguishing mouse cursor movement” detailing my contribution to the project • Implemented IRL and Deep IRL functionalities to model individual and population-level behavior analysis PythonLinuxLaTexReverse reinforcement learningDeep inverse reinforcement learning |
| Worked for 5 months from Jan 2020 to May 2020 Jan 2020 May 2020 5 months | Research Associate - Rensselaer Polytechnic Institute, Cognitive and Immersive Systems Lab (CISL) I developed an iterative feedback generation model and phenome recognition algorithm for a chatbot to discern IPA (International Phonetic Alphabet) sequences between native and non-native Chinese speakers I used the Machine Learning and Neuronal perspectives of reinforcement learning to train a teaching chatbot to correct language pronunciation and provide needed (most rewarded) feedback to students. I designed a user simulator that completes an error assessment based on the difference between the "detected" IPA categories and "target" IPA categories and implements a detection system to correct human errors PythonChatbot DevelopmentIPAAlgorithmsReinforcement Learning |
🎓Education and Credentials
| Attended for 4 years from 2016 to 2020 2016 2020 4 years | Rensselaer Polytechnic Institute Bachelor's degree - Applied Mathematics |