About Me
A multi-faceted, result-oriented & competent professional with nearly 2 years of comprehensive experience; targeting challenging and rewarding opportunities with an organization of repute.
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Skilled in gathering inputs from users...
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Skilled in gathering inputs from users & leveraging given data for creating reliable algorithms that predict future behaviour
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Competency in research & implementation of appropriate ML algorithms & AI tools
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Proper understanding of machine learning algorithms; developed analytical methods to support novel approaches of data and information processing
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Insightful experience in project management activities including project scoping, estimation, planning, finalization of technical / functional specifications, resource administration and quality management
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Built end-to-end interactive machine learning models; worked in deployment of ML models related to the business needs
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Capability in devising and implementing Statistical / Predictive Models and Machine Learning Algorithms utilizing diverse sources of data
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Gained experience in manipulating and analysing complex, high-volume, high-dimensionality data from varying data sources
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Supported majorly in the development of innovative business solutions to improve product performance and reduce cost by leveraging combination of domain knowledge, Data Science & Data Engineering skills
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Helping out the community in Data Science and Deep Learning as a volunteer & speaker at Mantissa Data Science Meetup Group
TECHNICAL SKILLS
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Knowledge of: Algorithms, OOP, Data Structures, Regex, Statistics, debugging, Linux Commands, containers (docker), REST API, Calculus & Algebra
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DBMS: SQL, NoSQL
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Cloud: AWS, GCP
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Version Control: Git
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Coding: Python, C++, C, Octave/Matlab, Bash
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Data-handling: Numpy, Pandas, Scikit-learn
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Computer Vision: Object Detection & Segmentaion (OpenC, PIL)
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NLP: Gensim, Spacy, Transformers
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Data Visualization: Matplotlib, Plotly, seaborn
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ML/DL Libraries: Keras, PyTorch, TensorFlow, Fastai, Caffe (ONNX, MMDNN), H20, AutoKeras
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Data Science: Regression, Time-Series Analysis, Bayesian Methods, Tree-Based Learners, SVM, Dimensionality Reduction, Data Mining, Recommendation Systems
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NVIDIA: TensorRT, NVDLA
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Areas of Interest: Auto ML, Task Automation, NLP
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Skills
Others
Web Development
Data & Analytics
Programming Language
Software Engineering
Database
Development Tools
Software Testing
Operating System
Mobile Apps
Graphic Design
Positions
Portfolio Projects
Company
OCR - DATE EXTRACTOR
Description
extract date from bills, Pre-process image (skew correction, thresholding), used tesseract
to get the text, do a regex search for date patterns
Skills
Python OCR Tesseract