- 📍 Location: Houston, Texas
- ✉️ Email: [email protected]
Passionate neuroscientist with a Ph.D. in data-driven insights to understand the intricate workings of the brain. Experienced in complex data problem-solving and skilled in Critical thinking and Project Management.
- AI with Deep Learning McCombs School of Business, UT Austin, United States, 2023
- Postgraduate Program in Data Science & Business Analytics McCombs School of Business, UT Austin, United States, 2022
- Computational Neuroscience, Neuromatch Academy, 2020
Postdoctoral Associate Baylor College of Medicine Houston, Texas, United States 2021-present
- Studying how action timing is achieved by motor programming. (https://github.com/sudhasharma529/JML)
- Developing methods to analyze high-dimensional data to study magnetic sensing in free-moving birds. (https://github.com/sudhasharma529/MagneticStimulation-DataAnalysis)
Course Projects -Extensive experience studying datasets and producing actionable business insights and strategic recommendations.
Unsupervised Learning(https://github.com/sudhasharma529/unsupervised-learning)
- Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.
- Skills & Tools Covered: EDA, Kmeans Clustering, Hierarchical Clustering, Cluster Profiling
Model Tuning(https://github.com/sudhasharma529/model-tuning)
- "ReneWind" is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. The objective is to build various classification models, tune them, and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
- Skills & Tools Covered: Up and downsampling, Regularization, Hyperparameter tuning
Ensemble Techniques(https://github.com/sudhasharma529/ensemble-techniques)
- Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
- Skills & Tools Covered: EDA, Data Preprocessing, Customer Profiling, Bagging Classifiers (Bagging and Random Forest), Boosting Classifier (AdaBoost, Gradient Boosting, XGBoost), Stacking Classifier, Hyperparameter Tuning using GridSearchCV, Business insights
Supervised Learning - Classification(https://github.com/sudhasharma529/supervised-learning)
- Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
- Skills & Tools Covered: EDA, Data Pre-processing, Logistic regression, Multicollinearity, Finding optimal threshold using AUC-ROC curve, Decision trees, Pruning
Supervised Learning - Foundations
- Analyze the used devices dataset, build a model that will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
- Skills & Tools Covered: EDA, Linear Regression, Linear Regression assumptions, Business insights and recommendations
Business Statistics(https://github.com/sudhasharma529/businesss-statistics)
- This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that will help to conclude the effectiveness of the new landing page. Apart from that, the dependence of conversion on the preferred language will also be analyzed in this project.
- Skills & Tools Covered: Hypothesis Testing, a/b testing, Data Visualization, Statistical Inference
FoodHub Order Analysis using Python(https://github.com/sudhasharma529/businesss-statistics)
- The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to draw some actionable insights for the business. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions that need to be answered. Perform the data analysis to find answers to these questions that will help the company to improve the business.
- Skills & Tools Covered: Exploratory Data Analysis (Variable Identification, Univariate analysis, Bi-Variate analysis), Python
Twitter Sentiment Analysis for Airline Services(https://github.com/sudhasharma529/TwitterDataAnalysis)
- Course: Introduction to Natural Language Processing
- To identify the sentiment from a tweet to understand an airline's customer satisfaction.
- Skills & Tools Covered: Working with text, Vectorization(Count vectorizer & tf-idf vectorizer), Sentiment analysis, Parameter tuning, Confusion matrix-based model evaluation
Plant Seedlings Image classification using CNNs(https://github.com/sudhasharma529/Computer-Vision-Project)
- Course: Introduction to Computer Vision
- To identify the plant seedlings species from 12 different species using a convolutional neural network.
- Skills & Tools Covered: Working with images, Computer Vision, Keras, CNN
Bank Customer Churn Prediction (https://github.com/sudhasharma529/Deep-neural-networks)
- Course: Introduction to Neural Networks
- To help the operations team identify the customers that are more likely to churn by building an artificial Neural Network from scratch.
- Skills & Tools Covered: Tensorflow, Keras, ANN, Google Colab.
PhD Dissertation IIT Kharagpur West Bengal, India 2015-2021
- Signal analysis to study multisensory neural processing using MATLAB.
- Developed hardware-software interface for recording neural signals.
- Created GUIs for stimulus delivery.
- Performed statistical analysis using machine learning algorithms.
- Developed methods for recording and data analysis pipelines to study data using 2-photon microscopy, increasing the reward to effort ratio by 80%.(https://github.com/sudhasharma529/AuditoryCortexImaging-work)
- Compiled and wrote manuscripts leading to publications and presentations at international conferences.
- Supervised and collaborated with new recruits.
Project Assistant National Brain Research Center Manesar, India 2012-2014
- Analyzed audio files to characterize the spectrotemporal properties of bird songs.
- Managed operational requirements of the lab.
Master's Dissertation Jawaharlal Nehru University New Delhi, India 2010-2012
- Analyzed video database, involving image processing to obtain clean data, followed by statistical analysis to study anxiety behavior in zebrafish.
- Published and presented the work in front of an expert audience.
- Ph.D. in Neuroscience, Indian Institute of Technology Kharagpur, West Bengal, India, 2015-2021
- MSc. in Life Sciences, Jawaharlal Nehru University, New Delhi, India, 2010-2012
- BSc. in Life Sciences, University of Delhi, New Delhi, India, 2007-2010
- CSIR-National Eligibility Test, 2014 (top 3%)
- Graduate Aptitude Test Engineering, 2015 (top 10%)
- National Entrance for JNU, 2010 (top 0.01%)
- Best Poster Presentation at the Indian Association of Neuroscience, 2012
Leveraging my research experience to pursue my passion to solve complex data problems, in a broader and more versatile context. Easing self-sustainability with the help of AI.
- "Differential rapid plasticity in auditory and visual responses in the primarily multisensory orbitofrontal cortex." Eneuro, 2020.
- "Modulation of auditory responses by visual inputs in the mouse auditory cortex." bioRxiv, 2021.
- "Blocking µ-opioid Receptors in a Songbird Cortical Region modulates the Acoustic Features and Levels of Female-Directed Singing." Frontiers in Neuroscience, 2020.
- "Involvement of the α1-adrenoceptor in sleep-waking and sleep loss-induced anxiety behavior in zebrafish." Neuroscience, 2013