Vineet Verma — AI Researcher
Statistics : Exploratory Data Analytics, Inferential Statistics, Hypothesis Testing, ANOVA, ANCOVA, PCA, Factor analysis, Significance Tests(Z/T), Outlier analysis. Machine Learning : Decision Tree, Random Forest, Regression, Clustering (K-Means), K-Nearest Neighbours (KNN), Support Vector Machines (SVMs), Logistic Regression, Naive Bayes Deep Learning : Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Long-Short term Memory (LSTMs), K-Boltzmann Constant, Auto-Encoders, Deep Neural Networks (DNNs) Computer Vision : Image Processing , Object Detection, Image Segmentation YOLOv3, YOLOv4, R-CNN NLP/ Text Mining : Sentiment analysis, TF-IDF, Stemming, Stopping, Lemmatisation, POS, Entity Extraction, Collaborative & Content Filtering, Text classifications, Ontology, Topic Modeling, Text Distance Mechanisms (Levenshtien's/Jarowinkler/LCS/LCA) Big Data/Cloud - Kubernetes, AWS, Spark, Spark SQL, SQL, MongoDB Python, Java, C++, C, Business Analytics. OpenSource Data Visualization : Plotly Dash Web Applications
Stackforce AI infers this person is a Data Science and AI specialist with a focus on Machine Learning and Data Visualization.
Location: Mumbai, Maharashtra, India
Experience: 8 yrs 3 mos
Skills
- Artificial Intelligence (ai)
- Machine Learning
- Data Visualization
Career Highlights
- Expert in Machine Learning and Deep Learning techniques.
- Proficient in Data Visualization using Plotly Dash.
- Strong foundation in Statistical Analysis and NLP.
Work Experience
Tata Consultancy Services
AI Engineer (4 yrs 4 mos)
LTI - Larsen & Toubro Infotech
Machine Learning Engineer (2 yrs 11 mos)
Plotly Dash Python Developer (1 yr)
Education
M.TECH at Indian Institute of Technology Jodhpur
Post Graduate Diploma at International Institute of Information Technology Bangalore
Bachelor of Engineering - BE at Sardar Patel University, Vallabh Vidyanagar