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ABHISHEK SHARMA

@abhisheksharma1351

Data Scientist at DENSO HARYANA PVT LTD

Gurgaon/Gurugram

https://www.linkedin.com/in/abhishek-sharma-96a894218

DENSO HARYANA PVT LTDB.L. Central Public School Shamti Solan

Abhishek is a Data Scientist with a total of 6 years of professional experience. He has 3 years of focused expertise in applying advanced analytics and machine learning techniques to extract actionable insights from complex datasets. His skills encompass deep learning, NLP, time series forecasting, and predictive modeling, enabling him to drive operational efficiency and optimize resource utilization.

Experience

Data scientist

DENSO HARYANA PVT LTD

Jan 2021 - PresentGurgaon, India

Project 1: Component Guardian: Harnessing Predictive Analytics for Early Detection of Failures. Responsibilities included gathering historical data from SQL Database, performing EDA, data preprocessing (handling missing values, outliers), and feature engineering. Key tasks involved dimension reduction (150 to 120 features) and model building/deployment using Logistic Regression, KNN, SVC, Decision Tree, Random Forest, and Gradient Boosting. Performance was enhanced via RandomSearch CV and sampling techniques. Project 2: Precision in Production: Forecasting Volume with Data-Driven Insights. Tasks included gathering production data, cleaning data, and selecting time series models (ARIMA, Prophet). Validation used MAE, MSE, or RMSE. Provided actionable recommendations for optimizing production planning and resource allocation. Achievements included quantifying improvements like reduced stockouts and optimized resource utilization.

Education

University of petroleum & energy studies

B.Tech

Mechatronics

Jan 2014 - Jan 2018

B.L. Central Public School Shamti Solan

XII

Jan 2014

St. Mary’s Convent High School Kasauli

X

Jan 2012

Licenses & Certifications

Machine Learning with Python

IBM

• No expiration

Skills

Python
Numpy
pandas
matplotlib
seaborn
regex
scipy
IQR
Skewness
Z-Score
T-tests
Hypothesis testing
confidence interval
sklearn
Regression
boosting models
Classification
bagging models
K-means
PCA
LDA
ARIMA
SARIMAX
Facebook Prophet
PowerBi
Tableau
SQL
MongoDB
ANN
CNN
RNN
Computer Vision
Seq2seq
Generative AI
Activation functions
optimizers
loss function
keras
tensorflow
padding
max pooling
NLTK
Spacy
Textblob
Stanza
stemming
lemmatization
Word2vec
Glove
Resnet50
AlexNet
VGG
Transfer learning
functional API
Embedding
LSTM
GRU
OpenCV
YOLO
encoders decoders
transformers
attention
BERT
LLM
Langchain
AWS EC2
flask
Microsoft Office
Excel
Powerpoint
Outlook
Spark
Hadoop