Anmol Kankariya

Backend Engineer

Bangalore Urban, Karnataka, India7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in API development and deployment on Openshift.
Proficient in building ML models for supply chain forecasting.
Strong background in big data technologies and data analysis.

Stackforce AI infers this person is a Data Engineer with expertise in Big Data and Machine Learning.

Contact

Skills

Core Skills

Api DevelopmentData EngineeringMachine LearningData AnalysisSoftware DevelopmentData ScienceBig Data

Other Skills

Apache NiFiBlockchainDistCpETLFlumeGoogle Cloud Platform (GCP)HDFSHadoopHbaseHiveNatural Language Processing (NLP)OpenshiftPower BIPySparkPython

About

• Expertise in API development and deployment of app on openshift. • Experience in building ML models to identify critical items and forecast Pull-In/PO (Purchase order) under Supply Chain using Python, scikit-learn and matplotlib. • Expertise in analyzing data using HiveQL and PySpark. • Expertise in multivariate analysis techniques like Linear & Logistic Regression, Segmentation (Clustering & Decision Tree’s), Healthcare analytics (Predictive analytics), App analytics. • Expertise in big data technologies – Hadoop’s HDFS, Hive, Spark, Hbase, and Sqoop. • Expertise in Snowflake and NiFi. • Proficient in building algorithms for business analytics. • Proficient in scripting with Python. • Experience in development of marketing and CRM models (Cross sell & upsell).

Experience

7 yrs 9 mos

Total Experience

2 yrs 7 mos

Average Tenure

5 yrs

Current Experience

Google

Cloud Data Engineer

Jun 2021 – Present · 5 yrs · Bangalore Urban, Karnataka, India

Micron technology

Data Engineer, Smart Manufacturing & AI

Jun 2019 – Jun 2021 · 2 yrs · Hyderabad Area, India

Developed 90+ Api's fetching from snowflake and deployed application on Openshift.
Automated the workflow of shortlisting critical items under supply chain to identify top 10 critical and built a model to forecast Pull-In/PO(Purchase order) using Python, scikit-learn (used Random forest classifier) and matplotlib.
Automated backloading process by extracting logs and re-inserting semiconductor wafers lot ID’s into Hbase using Python.
Automated the process of copying the partitioned table from one cluster to another using DistCp.
Developed an intelligent pipeline and a stored proc generator that will never miss any file to load.
Developed and Integrated Hive Compaction capability to ETL pipeline to deal with updated records.
Analyzed datasets using Hive and PySpark.
Adopted best software development practices querying large, complex data sets and performed query tuning and advanced optimized techniques like partitioning.

API developmentOpenshiftPythonscikit-learnmatplotlibHadoop+5

Analytixlabs

2 roles

Data Science Intern

May 2018 – Sep 2018 · 4 mos · Gurgaon, Haryana, India

Created/solved new projects and case studies for their students based on spark and hadoop followed by building ML models and reports in BI tools ( Tableau/Power BI/Oracle DVD).
Performed real time streaming using spark.
Designed a solution for logs transfer into HDFS using flume configuration.
Performed ETL using PIG for e-commerce dataset to use it for further analysis.
Designed analytical queries in hive to find required results.
Performed import export operations using sqoop by creating a shell script with parameterized inputs.
Built a model to predict stroke (It is a medical condition in which poor blood flow to the brain results in cell death).
Visualized the results in histograms, pie-charts, etc. using Tableau/PowerBI/OracleDVD.
Recently created two HR chatbots, one with deep learning and other one without deep learning i.e. by using RasaNLU in Python.