Summary

Overview

Work History

Education

Skills

Accomplishments

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Hi, I’m

Ridam Jain

Pratapgarh

Summary

Seasoned Data Scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing 4+ years of related experience strengthening company operations.

Overview

years of professional experience

Work History

Wipro Ltd.
Pune

Senior Software Engineer

03.2022 - Current

Job overview

AI driven Asset Health Care Solution to achieve top asset performance and reliability, utilizing Machine Learning or Deep Learning Models that provides early prediction to reduce failures and avoid unplanned maintenance/ plant shutdowns
The Model is trained initially on historical data, predicts the results for next one year data for validation model will be predicted with subsequent year unseen test data and if fine tuning needed will be applied K-means algorithm is used to find the clusters and the outlier score is calculated using CMGOS algorithm. If baseline approach does not achieve the acceptance criteria, AE-based approach is applied on the asset.
The anomaly predicted by the model will be validated against validation data taken out from historical data. Anomaly feedback was collected and performance of model was monitored. The performance of the model is expected to match the historical performance of the model. After the model achieves an acceptable precision and recall criteria it has pushed to pre prod for live predictions

Infosys Ltd

Senior System Engineer

12.2018 - 01.2022

Job overview

Gathered customer requirements and developed machine learning product features to address needs.
Identified, researched and evaluated innovative machine learning technologies, explaining details to coworkers.
Cleaned and manipulated raw data.
Participated in meetings, code reviews, demos, design sessions and project retrospectives.
Developed predictive models using machine learning, natural language and statistical analysis methods.
Designed models, algorithms and visualizations to distill insights from huge volumes of data.

Education

Purdue University

PG from Artificial intelligence and Machine Learning

09.2021

University Overview

For Data Science; Machine Learning; Deep Learning with Tensorﬂow and Keras; Advanced Deep Learning and Computer Vision; Natural Language Processing and Speech Recognition; Reinforcement Learning

Solapur university

B.E from Computer Science

01.2018

University Overview

GPA: 7.5

Skills

Programming Languages
Python:
Rapidminer
Numpy, Pandas, Mathplotlib; SQL
NLP
NLTK; Scapy; Sentimental Analysis; BERT; Genism; WordtoVec2
Machine Learning
Supervised Learning: Linear, Logistic regression, Decision tree, SVM, XGBoost; Unsupervised Learning: K-Means

Clustering, PCA
Deep Learning
Tensorﬂow; Object detection; Yolo; Auto-Encoders; Transformers
Data Visualisation
Matplotlib; Seaborn; Power BI
Cloud
GCP: Beginner; AWS: Beginner

Accomplishments

KPMG Virtual Experience Program
Assess the Quality of data using the Standard data quality Dimensions after assessing the existing Dataset recommended 1000 customers who should be targets using EDA techniques like Matplotlib, Seaborn
Developed a Power BI dashboard that analyzed the underlying trends, highest customer value and proposed clients marketing and growth strategy

Websites

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