Aashish Adhikari
Data Scientist at BDO Government Services, LLC
- Role
- Data Scientist at BDO USA
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Aashish Adhikari
I describe myself as a self-starter who is not scared to experiment new ideas and take on new challenges. I believe learning is a lifelong process. So you will see me push git commits for a personal project late at night on weekends. I enjoy solving problems from diverse fields - state space modelling of a self-driving car with a billion-parameter neural network to hardness prediction of alloys using regression. I have completed projects - academic as well as personal - that span traditional machine learning, deep learning, reinforcement learning, vision, and NLP. My research focuses on the real-world problem of reducing operations cost at data centers using machine learning. As such, I have a good experience in designing MDPs and reward functions as well as application and debugging of various model-based and model-free reinforcement learning algorithms.Currently, I am seeking internships/ entry level job opportunities in machine learning to solve real-world problems.Looking forward to learning more and meeting new people.Please check my portfolio or my past experiences and projects at https://being-aerys.github.io/Languages: Python, SQL, R, JavaData Tools: NumPy, Pandas, sklearn, Jupyter Notebook, PyTorch, skorch, NLTK, OpenCVData Skills: Data Cleaning, Data Preprocessing, Feature Selection, Data Analysis, Hypothesis TestingVisualization: PowerBI, ggplot, matplotlib, seaborn, tensorboard, wandbMachine Learning: Linear Regression, Logistic Regression, GDA, Naïve Bayes, kNN, Perceptron, Decision Trees, Bagging, Boosting, SVM, Kernels, k-means, Agglomerative Clustering, KD Tree, GMM, Expectation Maximization, PCA, LDA, EVDDeep Learning: MLP, CNN, RNN, GRU, LSTM, Transformer, AutoEncoderReinforcement Learning: Value Iteration, Policy Iteration, Monte-Carlo Learning, Q-learning, SARSA, DQN, REINFORCE, A2C, A3C, DDPG, TD3, Prioritized Replay, Hindsight Replay, Imitation Learning, Random Shooting, Cross Entropy MethodTools/ Skills: Docker, AWS, SageMaker, Lambda, S3, flask, Heroku, REST, Ray, Git, Linux, MySQL, Unit Testing, AGILE, OOP, Algorithms, Data Structures, Python Packaging
Experience
Data Scientist
Nov 2025 — Present · Dallas-Fort Worth, TX, US
Education
Oregon State University
Master of Science, Computer Science
Tribhuvan University, Institute Of Engineering, Pashchimanchal Campus
Bachelor of Engineering - BE, Computer Engineering
2012 — 2016
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