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Data Analyst, Machine learning

Location:
Bangalore, Karnataka, India
Salary:
20000
Posted:
July 26, 2019

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Resume:

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Phone: +91-830******* EMAIL: ac9wsz@r.postjobfree.com HARSHA SAI MANOHAR

IIT Jodhpur

PROFILE

Business-Minded Data Scientist with a passion for delivering valuable insights through analytical functions and data- driven methods. Committed to helping companies to advance by developing strategic plans based on predictive modelling and findings. Skilled in machine learning, statistics, programming and problem-solving. PROJECTS

Audio pre-processing: clips were chopped/padded up to 16khz for easy processing. Features: Three types of features(mel, mfcc, raw input) were extracted from audio data for modelling. Model Building: Built various CNNs (i.e vgg, senet, resnet, densenet) on the three different inputs. Stochastic gradient descent optimizer is used to reduce the loss for the all CNNs Built ensemble model by stacking all the trained CNNs to boost the prediction score by at least 6% Defining and Understanding the business problem and built a Data Quality Report for given data-set. Cleaning data, Deleted all the columns where only 10% of information was given. Outlier Treatment, Variable Profiling to impute missing values and to remove insignificant variables. Built logistic regression model using backward selection algorithm and validated it. Predicted churn rate for each customer gives the customers who are likely to churn. EDUCATION

Bachelor of Technology

High Secondary School

SKILLS

CERTIFICATIONS

Pursing Deep Learning Specialization in coursera.

Certified Data Scientist by IBM at Jigsaw Academy. Data Analyst certified by Dataquest.io

REFERENCES

References available upon request

Speech Recognition Using CNNs Mar 2018 – Apr 2019

IIT Jodhpur

Telecom Churn Analysis Aug 2018 – Dec 2018

Jigsaw Academy

Indian Institute of Technology Jul 2014 – May 2019 Jodhpur

Sri Chaitanya Jr. Kalasala Jul 2012 – May 2014

Vijayawada

Data Analysis Expert Predictive Modeling Expert

Machine Learning Expert Data Visualization Skillful Python Skillful R Programming Skillful

Deep Learning Specialization Jan 2019 – May 2019

Coursera

Full Stack Data science Jul 2018 – Dec 2018

jigsaw Academy

Data Analyst Jan 2018 – Mar 2018

Dataquest



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