Mani K

Actively looking for Contract (C2C) Opportunities | Data Scientist | Data Analyst | Machine Learning Engineer | Data Engineer | Python and AWS developer | SQL Developer

Role
Data Engineer at Panasonic North America
Location
Houston, TX, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Mani K

Data Scientist with 6+ years of professional experience in the Banking, E-commerce, and Financial domain, performing Statistical Modelling, Data Extraction, Data screening, Data cleaning, Data Exploration and Data Visualization of structured and unstructured datasets. Implemented large scale Machine Learning algorithms to deliver Key Performance Indicators (KPI’s), insights, inferences which significantly impacted business revenues.TECHNICAL SKILL SETS• Languages: Python, Java, Matlab, SQL, C• Databases: MySQL, Oracle, MongoDB, Microsoft SQL Server, DB2• Statistical Tests: Hypothesis Testing, ANOVA tests, t-tests, Chi-Square Fit test, Regression• Validation Techniques: Gradient, K-fold cross Validation, Monte-Carlo simulations, Out of bag sample estimate• Optimization Techniques: Gradient Descent, Stochastic Gradient Descent, Mini-Batch Gradient Descent, Gradient Optimization – Adam, Momentum, RMSProp • Data Visualization: Tableau, Microsoft PowerBI, Micro Strategy, SAS, ggplot, MatplotLib, and Seaborn• Web Frameworks: Flask, Django• Version Control Tools: Git, Mercurial• Python Libraries: Sci-kit Learn, Tensorflow, Keras, Numpy, Pandas, NLTK, and Scipy• Machine Learning: Linear Regression, Logistic Regression, Gradient boosting, Support Vector Machines (SVM), Random Forests, XGBoost, Maximum likelihood estimation, Clustering, Classification & Association Rules, K-Nearest Neighbors (KNN), K-Means Clustering, Decision Tree, Neural Networks, Convolution Neural Networks, Recurrent Neural Networks, Long Short Term Memory (LSTM), Generative adversarial networks (GANs), Self-Organizing Maps (SOM), Bidirectional Encoders Representations from Transformers (BERT), Deep Belief Networks (DBN), Principal Component Analysis. Text mining: Natural Language Processing (NLP), Sentiment Analysis.• Big Data: Apache Hadoop, HDFS, Kafka, MapReduce, Spark• Data Modeling: Entity relationship Diagrams (ERD), Snowflake Schema• Cloud Technologies: Amazon Web Services (AWS), Microsoft Azure• Proficiency with Microsoft Office Suite 2010

Experience

  1. Data Engineer

    Panasonic North America

    Mar 2019 — Present · Denver, CO, US

Education

  • Mahatma Gandhi Institute of Technology

    Bachelor's degree, Electronics and Communication

  • Texas A&M University

    Master's degree, Computer and Information Sciences

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Mani K — Data Engineer at Panasonic North America in Houston, TX, US | Unifers