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Software Engineer Data

Location:
Hyderabad, Telangana, India
Posted:
September 30, 2019

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Resume:

DARSHAN J

Data Scientist

PROFILE

Data scientist professional with an

experience of 2 years in the field of

decision science providing Descriptive,

Inferential, Diagnostic and Predictive

solutions.

SKILLS

Machine Learning

Deep Learning

Python

R

SQL

Informatica

CONTACT

PHONE:

990-***-****

WEBSITE:

https://www.linkedin.com/in/darshan-

jayanna/

https://github.com/darshanja/

EMAIL:

adahft@r.postjobfree.com

CERTIFICATE

Machine Learning

Python

R

EDUCATION

DAYANANDA SAGAR COLLEGE OF ENGINERING, BENGALURU

B.E (74%)

2013 - 2017

WORK EXPERIENCE 2 YEARS

ACCENTURE (Associate Software Engineer)

2017– Present

Projects

Recommendation Engine for Magento Platform

Built a recommendation engine using K-means clustering and Apriori models for an e-commerce website in which I’m working for building the collaborative filter model to get the recommendations.

Sentiment Analysis on Reviews data

We built an external plugin to segment the new reviews or comments into different classes (VG,G,AVG,B,VB), in which I worked on text mining and built classification model in Python.

Image Stitching & cropping and Merging

Developing an application to stitch different images into single image using SIFT model. And also using RESNET model identifying the mask of an image & merging it with a background image to get a desired final image

Data Quality using PYSPARK.

Developing Python scripts to load the fixed length/json/parquet/xml files into hadoop through pyspark with maintaining Audits Kaggle Projects

Fraud Detection from customer transactions

I submitted a kernel with XGBoost model with EDA for customer transaction fraud detection.

Credit Loan Default Imbalanced classification

Cleaned the data, imputed the missing data using MICE technique and build a classification model after

Oversampling the data using SMOTE

Chabot using Cornell movie dataset

Built a Chabot using Cornell movie dialogs corpus

dataset.

Facial Expression detection.

Made a CNN model using Keras to find the facial

expressions.



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