Graduated from Indian Institute of Technology, Guwahati. Worked 10+ years in the government sector. Data has played a pivotal role in each of my work profiles and being fascinated by it, I trained as a data analyst. I hope to utilize my new found data skills blended with my people skills acquired in the government sector to bring new insights to this role.
I have been working as well as constantly updating my skill set over the past year or so and along with that I have worked on diverse projects for several clients in areas like data visualization using matplotlib in python, Machine Learning, Deep Learning etc.
Patna, India
มิ.ย., 2023 - ปัจจุบัน
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1 ปี, 6 เดือน
Sub Registrar
ก.พ., 2020 - ปัจจุบัน
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4 ปี, 11 เดือน
Government of Bihar
ก.พ., 2020 - ปัจจุบัน
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4 ปี, 11 เดือน
Primary work responsibilities involve analyzing the data relating to trends of transactions of property (land and others) and their valuations and drawing insights from the same to maximize the collection of revenue (stamp duty) for the government.The job also involves Public Relations, Problem Solving, Decision Making, Office Administration, Leadership and Team Building.
ก.พ., 2020 - ปัจจุบัน
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4 ปี, 11 เดือน
Auditor
พ.ค., 2016 - ก.พ., 2020
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3 ปี, 9 เดือน
Controller General of Defence Accounts
พ.ค., 2016 - ก.พ., 2020
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3 ปี, 9 เดือน
Work responsibilities involved database management of employees and clients of the organization using PostgresQL.
พ.ค., 2016 - ก.พ., 2020
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3 ปี, 9 เดือน
การศึกษา
Indian Institute of Technology, Guwahati
2006 - 2010
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4 ปี
B. Tech
India
2006 - 2010
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4 ปี
คุณสมบัติ
Natural Language Processing with Python
2024
Udemy
The course covered topics in NLP like tokenization, lemmatization, Pos tagging, NER, Topic Modelling, use of SPACY and NLTK
2024
Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize
2024
Udemy
Course included topics like Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Boltzmann Machines and Auto Encoders
2024
Google Advanced Data Analysis professional certificate
2023
Google
The course involved knowledge and practical work experience in Python, Advanced Tableau, Probability, Statistics, Hypothesis Testing ( One and two tailed tests, T-test, Z-test, A/B testing, Chi square test), Regression Analysis (Simple and Multiple Linear Regression, Logistic Regression) and Machine Learning( Supervised models- Naive Bayes model, Decision Tree, Random Forest and Gradient Boosting, Unsupervised models- K means clustering)