Ankit 
Chand	 	
09438669636
chand07ankit@gmail.com	 	
https://www.linkedin.com/in/ankitchand007/	 	
Data Scientist with 	3 years	 of hands	-on experience in 	developing	 and 	deploying	 data	-driven solutions to solve complex business 	
problems. 	 	
* Good experience in 	Python	 for 	data analysis, machine learning	, and 	automation	. Skilled in using 	libraries	 such as 	Pandas, 	
NumPy, Scikit	-Learn, TensorFlow	, and 	PyTorch	. 	
* Proficient in 	developing 	various types of 	models	, including 	regression, classification, clustering	, and 	deep learning models	.  	
* Experienced in 	model selection	, hyperparameter tuning	, and 	performance evaluation	. 	
* Expert in 	exploratory data analysis	 (EDA), feature engineering	, and 	data visualization	 techniques.	 	
* Excellent 	communication skills	 for collaborating with cross	-functional teams and presenting results to stakeholders.	 	
Professional 	Experience	 	
09	/202	2 &ndash; present	 	
Retisio India Pvt Ltd	, 	
Bengaluru, IN 	 	
 
 	
Data Scientist	 	
Client: 	AllenBrothers	 - Designed and implemented a 	Recommendation Engine	 (RxE	) to	 recommend 	
most relevant items to particular user based on their interests in E	-commerce	 	
* Analysed	 historical sales data, customer reviews, and ratings to identify trends and opportunities for 	
improvement.	 	
* Incorporated 	features	 such as product ID, category, brand, price, description, and technical 	
specifications to enrich product listings.	 	
* Implemented a 	recommendation engine	 leveraging anonymized customer purchase history and 	
browsing behaviour. 	 	
* Utilized data on product returns and 	exchanges to identify potential quality issues and optimize 	
inventory management.	 	
 
RETISIO Intelligent Search 	- To build a product that will identify and provide relevant search results	 	
* Developed to 	automate	 the updating catalogue specific keywords and entity of ner dictionary.	 	
* Developed 	search intent identification	 for price, product, type, and category.	 	
* Integrated	 script for 	multitency support	 (as site1 and site2)	 	
 
Learning to Rank for E	-Commerce Search 	- Developed Python script for managing features (likely 	 	
search queries) in an Elasticsearch index.	 	
- Load features as a feature set into an 	Elasticsearch index	. 	
* Forged the 	Data preparation	 and 	preprocessing	 for model training	 	
* Developed 	&amp; trained	 the model with 	fine	-tuned hyper parameters	 	
 
Data Scientist	 	
Client: BrandsMart	 USA 	- Designed and implemented a Search Intelligence Tool (SIT) to improve search 	 	
relevancy for an e	-commerce website	 	
* SIT employs 	machine learning models	, specifically a 	Conditional Random Field (CRF) model	, to 	 	
identify entities (brands, categories, subcategories) within a user&#039;s search query.	 	
* The model undergoes two critical phases: 	training 	and 	inference	. During training, the model learns 	 	
from 	labeled data	 to improve its prediction accuracy. The inference phase utilizes the trained model to 	 	
analyze 	user queries and assign relevant labels	. 	
Enhancement	: Identified 	missing data points	 in NER dictionary and unigram.txt. Developed a process 	
to update missing display names, brand names, model codes, and SKU codes.	 	
* Maintained 	data quality	 by filtering noisy data (e.g., &quot;808&quot; in brand names). Addressed model code 	 	
auto	-correction issues by manually editing unigram and skipping for symspell files.	 	
* Implemented a recurring update process (every 2	-3 months) to ensure data freshness.	 	
* Streamlined data comparison	 by sorting model codes based on length and filtering numeric/float 	 	
data.	 	
* Optimized 	SymSpell usage by balancing number of edits and frequency for better auto	-correction.	 	
 
 	
Profile Summary	 	
 	
  
  	
 	
09/2021 	&ndash; 09/2022	 	
AIE Software	 India Pvt 	
Ltd	, Bengaluru, IN

Skills       	 	
Language 	- Python, SQL, PySpark	 	
Frameworks &amp; Databases 	- Flask, PostgreSQL, MySQL	 	
Development Tools and Services 	- Gitlab, Jupyter Notebook, PyCharm, Visual studio, Postman	 	
Cloud Platforms 	- GCP [ Big Query, Dataproc, Google App Engine, Google Cloud Storage, Cloud Composer 	
(Airflow) and Logging]	 	
Education	 	
Post Graduate Diploma in Data Science	 	
03/2020 	- 04/2021 &bull; IIIT Bangalore &amp; upGrad	 	
I have learned Statistics, Machine Learning, and Deep Learning, and Many other aspects of Data Science which 
are required to grow as an expert in this field. Secured 2.96 / 4.00	 	
 
B. Tech Mechanical Engineering	 	
08/2013	-07/2017 &bull; Lovely Professional University	 	
Jalandhar, Punjab	 	
I have done my Majors in Mechanics such as Dynamics of Machines and Mechanisms. I have done my Minors 
in Reading of Contemporary Fiction which included Social, Love, and Life Moral Values. Secured 61.83%.	 	
I Participated in International Go	-kart Championship (IGC) in LPU and secured Forth Place. LPU always gave a 	
competitive spirit of participating in events.	 	
Languages	 	 	English,	 Hindi	 and 	Odia