Sofie Soltani

DATA SCiENTiST · MACHiNE LEARNiNG

310-***-**** adt2mo@r.postjobfree.com sofie-s-soltani Summary

• PhD in Civil Engineering granted tenure for a total of $0.5M by Swedish Nuclear and Fuel Company (SKB).

• Delivered products using wide range of statistical andmachinelearningmethodsinconsultancyprojectsincluding:Convolutional neu ral network, Recurrent neural networks as well as SVM, KNN, random forest in highly regulated sectors such as infrastructure.

• 4yr experience in machine learning with Python. Working experience with R.

• 2yr experience in Scikit learn, TensorFlow and Keras. Working experience with SciPy, Tableau, Power BI, Airflow and PySpark. Work Experience

Tyréns Group Remote

DATA SCiENTiST May 2019 present

• Collaborated with stakeholders and clients, understanding strategic business needs, to define and refine data science solutions effectively

(prioritizing goals and objectives)

• Contributed to development of roadmap and project details, incorporating new insights and data sources (A/B test, web analytics, market pricing data, customer interest metrics)

• Developed strategies for effective data analysis, data stories and reporting, targeting technical and non technical audiences.

• Designed funnel reporting models using customer behavior data translated into KPIs for funnel stages.

• Trained high accuracy classification models for flood risk prediction.

• Utilized Apache airflow to run and monitor end to end data pipelines.

• Applied deep learning (LSTM neural network) to anomaly detection in time series including deep learning methods with Tensorflow / Keras. AquaNRG Houston, TX

DATA SCiENTiST Sep. 2020 May 2021

• Designed and implemented Deep Learning models for fracture detection in rock matrix image data and hydraulic properties prediction.

• AWS and GC resource management, security and pipeline design for image acquisition, 3D image reconstruction and model training

• Built analytical web applications based on Dash/Plotly and Flask. Tyréns Group Stockholm, Sweden

ENGiNEERiNG CONSULTANT Mar. 2018 Apr. 2019

• Technical lead design of tunnel construction scenarios for European route E4.

• Launched data processing pipelines to collect, transform and analyse spatial data, so as climatic and water level time series in Python, SQL. Stockholm University Stockholm, Sweden

POST DOC FELLOW Nov. 2017 Feb. 2018

• Participated in business development initiatives and proposal writings. Royal Institute of Technology (KTH) Stockholm, Sweden DOCTORAL RESEARCHER May 2012 Oct. 2017

• Developed a physical modeling framework for transport phenomena using, analytical and numerical methods for Swedish Nuclear Waste Co.

(SKB).

• Developed a parametric sensitivity analysis framework, using Sobol and derivative based indices and parameters coefficients of variation (CV) for rankings.

• Developed a physics based convolution kernel for signal (chemical time series data) processing to obtained statistical measures of output distribution.

• Created random fields to capture, trend, cycle, and seasonality of climatic time series data.

• Implemented in R, MATLAB and Wolfram Mathematica. Numerical simulation carried out in COMSOL. Education

Certificate in Data Science Los Angeles, CA

UNiVERSiTY OF CALiFORNiA AT LOS ANGELES EXTENSiON (UCLAX) Mar. 2020 PhD in Civil Engineering Stockholm, Sweden

ROYAL INSTITUTE OF TECHNOLOGY (KTH) Feb. 2018

Visiting Scholar Stockholm, Sweden

UNiVERSiTY OF CALiFORNiA AT DAViS (UCDAVIS) Jun. 2014 NOVEMBER 18, 2022 SOFiE SOLTANi · PHD

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