+1 (415) 644 5123
+44 1253 335595
+91 9875 492266
Arjun kumar
Hyderabad
,
India
Machine Learning Engineer
24000 USD / Year
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Notice Period: 30 Days
3 Years
About Me
Languages & Frameworks: Python, R, SQL, Tableau.
Packages: Scikit-Learn, NumPy, SciPy, Pandas, Matplotlib, Seaborn.
...
Statistics/ML: Linear/Logistic Regression, SVM, Random Forests, Naïve Bayes, KNN, Clustering.
Deep Learning: CNN, RNN, LSTM.
Deep Learning Frameworks: Open CV, TensorFlow, Keras
NLP: Text Mining, Sentiment Analysis, Latent Semantic Analysis (LSA), LDA, Word2vec
Cloud: Google Cloud Platform (Big Query, Big table, Data flow, Data Prep, Data Proc, Data Lab)
Amazon Web Services (Redshift, Athena, Glue, S3, DynamoDB, EC2, Lambda, EMR)
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Skills
Software Engineering
Data & Analytics
Programming Language
Development Tools
Operating System
Mobile Apps
Others
Web Development
Database
Positions
Portfolio Projects
Company
Repurchase Return Product Scenario
Role
Machine Learning Engineer
Description
- Project belongs to E-commerce domain where I have worked on Machine learning with Python libraries for the below scenarios.
- Build a model for Repurchase Return Product scenario, which will identify the new customers (or) returning customers who are returning the product and buying the same product and it will predict the they are returning the product wontedly (or) genuinely based on their past data.
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Tools
Jupyter NotebookCompany
Product Analysis
Description
- Worked towards improve the efficiency of the model that Engage and Personalize for Consumers.
- Worked to understand the business priorities over the different kind of predicators to influence the model efficiency and to make better pricing decisions.
- Worked with different kind of classification techniques to analyze the sentimental analysis of the customer and how far to Enhance Inventory and Store Management.
- Analysis of customer segmentation for different kind of predicator factors.
- Help to predicate using Machine Learning Techniques by using almost 20 to 30 factors.
- Used Classification model to detect the feasibility of getting product sold or not.
- Customer feedback about the experience and usage of the products and services by using NLP.
Tools
Jupyter NotebookCompany
Motion detection
Description
- Webcam detect the motion or any movement in front of it.
- This should return a graph; this graph should contain for how long the human/object was in front of the camera.
Tools
Jupyter NotebookCompany
Recommendation Engine
Description
- Project belongs to E-commerce domain where I have worked on Machine learning with Python libraries for the below scenarios.
- Build a Collaborative filtering (Frequently bought together) in Recommendation engine, which will recommend other products based on the what currently they bought.
- Build a Content based filtering (Similar products) in Recommendation engine, which will recommend products based on similarity between products.
- Collaborative filtering model which will take the events, item properties, product categories as the input variables and recommend other products based on the what currently they bought.
- Content based filtering model which will take product id, product description as the input and recommend the similar products.
Skills
Google Analytics API SQL Python Machine Learning Natural Language Processing Magento V1 Google CloudTools
Jupyter NotebookVerifications
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Profile Verified
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Phone Verified
Preferred Language
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English - Fluent
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Hindi - Fluent
Available Timezones
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Eastern Daylight [UTC -4]
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Central Daylight [UTC -5]
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Mountain Daylight [UTC -6]
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Pacific Daylight [UTC -7]
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Eastern European [UTC +2]
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Eastern EST [UTC +3]
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Greenwich Mean [UTC ±0]
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Further EET [UTC +3]
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Australian EDT [UTC +11]
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Australian CDT [UTC +10:30]
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Dubai [UTC +4]
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New Delhi [UTC +5]
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Hong Kong (East China) [UTC +8]
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Singapore [UTC +7]
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China (West) [UTC +6]
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